diff --git a/docs/Beaver.html b/docs/Beaver.html
index 6b9804da..00431997 100644
--- a/docs/Beaver.html
+++ b/docs/Beaver.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.pre_processing.Beaver: Fast matrix and tensor building tool &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.pre_processing.Beaver: Fast matrix and tensor building tool &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/Cheetah.html b/docs/Cheetah.html
index 513eecab..29cdd560 100644
--- a/docs/Cheetah.html
+++ b/docs/Cheetah.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.applications.Cheetah: Advanced search by keywords and phrases &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.applications.Cheetah: Advanced search by keywords and phrases &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/NMFk.html b/docs/NMFk.html
index a389e247..47c64949 100644
--- a/docs/NMFk.html
+++ b/docs/NMFk.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.factorization.NMFk: Non-negative Matrix Factorization with Automatic Model Determination &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.NMFk: Non-negative Matrix Factorization with Automatic Model Determination &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
@@ -422,7 +422,7 @@ <h1>Available Functions<a class="headerlink" href="#available-functions" title="
 others to do so.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="TELF.factorization.NMFk.NMFk">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">TELF.factorization.NMFk.</span></span><span class="sig-name descname"><span class="pre">NMFk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_perturbs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.015</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'uniform'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_nodes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'nnsvd'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">collect_output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_k_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'pvalue'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transpose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sill_thresh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_func</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'nmf_fro_mu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_obj_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pruned</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calculate_error</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_multiprocessing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">consensus_mat</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_consensus_stopping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calculate_pac</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">get_plot_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">simple_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/TELF/factorization/NMFk.html#NMFk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#TELF.factorization.NMFk.NMFk" title="Link to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">TELF.factorization.NMFk.</span></span><span class="sig-name descname"><span class="pre">NMFk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_perturbs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.015</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'uniform'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_nodes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'nnsvd'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">collect_output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_k_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sill'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transpose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sill_thresh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_func</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'nmf_fro_mu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_obj_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pruned</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calculate_error</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_multiprocessing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">consensus_mat</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_consensus_stopping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calculate_pac</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">get_plot_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">simple_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/TELF/factorization/NMFk.html#NMFk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#TELF.factorization.NMFk.NMFk" title="Link to this definition">#</a></dt>
 <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
 <p>NMFk is a Non-negative Matrix Factorization module with the capability to do automatic model determination.</p>
 <dl class="field-list simple">
@@ -457,14 +457,14 @@ <h1>Available Functions<a class="headerlink" href="#available-functions" title="
 <p>Even when <code class="docutils literal notranslate"><span class="pre">predict_k=False</span></code>, number of latent factors can be estimated using the figures saved in <code class="docutils literal notranslate"><span class="pre">save_path</span></code>.</p>
 </div>
 </p></li>
-<li><p><strong>predict_k_method</strong> (<em>str</em><em>, </em><em>optional</em>) – <p>Method to use when performing automatic k prediction. Default is “pvalue”.</p>
+<li><p><strong>predict_k_method</strong> (<em>str</em><em>, </em><em>optional</em>) – <p>Method to use when performing automatic k prediction. Default is “sill”.</p>
 <ul>
 <li><p><code class="docutils literal notranslate"><span class="pre">predict_k_method='pvalue'</span></code> will use L-Statistics with column-wise error for automatically estimating the number of latent factors.</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">predict_k_method='sill'</span></code> will use Silhouette score for estimating the number of latent factors.</p></li>
 </ul>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
-<p><code class="docutils literal notranslate"><span class="pre">predict_k_method='pvalue'</span></code> prediction will result in significantly longer processing time! <code class="docutils literal notranslate"><span class="pre">predict_k_method='sill'</span></code>, on the other hand, will be much faster.</p>
+<p><code class="docutils literal notranslate"><span class="pre">predict_k_method='pvalue'</span></code> prediction will result in significantly longer processing time, altough it is more accurate! <code class="docutils literal notranslate"><span class="pre">predict_k_method='sill'</span></code>, on the other hand, will be much faster.</p>
 </div>
 </p></li>
 <li><p><strong>verbose</strong> (<em>bool</em><em>, </em><em>optional</em>) – If True, shows progress in each k. The default is True.</p></li>
diff --git a/docs/RESCALk.html b/docs/RESCALk.html
index 28300d15..f1a0640f 100644
--- a/docs/RESCALk.html
+++ b/docs/RESCALk.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.factorization.RESCALk: RESCAL with Automatic Model Determination &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.RESCALk: RESCAL with Automatic Model Determination &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/SymNMFk.html b/docs/SymNMFk.html
index 2922ccda..df0ab139 100644
--- a/docs/SymNMFk.html
+++ b/docs/SymNMFk.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.factorization.SymNMFk: Symmetric Non-negative Matrix Factorization with Automatic Model Determination &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.SymNMFk: Symmetric Non-negative Matrix Factorization with Automatic Model Determination &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/TELF.factorization.decompositions.html b/docs/TELF.factorization.decompositions.html
index 250cef0b..87ebc74e 100644
--- a/docs/TELF.factorization.decompositions.html
+++ b/docs/TELF.factorization.decompositions.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.factorization.decompositions package &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.decompositions package &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -128,7 +128,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/TELF.factorization.decompositions.utilities.html b/docs/TELF.factorization.decompositions.utilities.html
index 8ce3f50e..2c800667 100644
--- a/docs/TELF.factorization.decompositions.utilities.html
+++ b/docs/TELF.factorization.decompositions.utilities.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.factorization.decompositions.utilities package &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.decompositions.utilities package &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/TELF.factorization.html b/docs/TELF.factorization.html
index e99a357f..c128aced 100644
--- a/docs/TELF.factorization.html
+++ b/docs/TELF.factorization.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.factorization package &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization package &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
@@ -506,7 +506,7 @@ <h2>Submodules<a class="headerlink" href="#submodules" title="Link to this headi
 others to do so.</p>
 <dl class="py class">
 <dt class="sig sig-object py" id="TELF.factorization.NMFk.NMFk">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">TELF.factorization.NMFk.</span></span><span class="sig-name descname"><span class="pre">NMFk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_perturbs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.015</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'uniform'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_nodes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'nnsvd'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">collect_output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_k_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'pvalue'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transpose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sill_thresh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_func</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'nmf_fro_mu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_obj_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pruned</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calculate_error</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_multiprocessing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">consensus_mat</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_consensus_stopping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calculate_pac</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">get_plot_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">simple_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/TELF/factorization/NMFk.html#NMFk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#TELF.factorization.NMFk.NMFk" title="Link to this definition">#</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">TELF.factorization.NMFk.</span></span><span class="sig-name descname"><span class="pre">NMFk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">n_perturbs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">20</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_iters</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.015</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_type</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'uniform'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_jobs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">n_nodes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">init</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'nnsvd'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_gpu</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_path</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'./'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">save_output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">collect_output</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_k</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">predict_k_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'sill'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_verbose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transpose</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sill_thresh</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_func</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'nmf_fro_mu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">nmf_obj_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pruned</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calculate_error</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">perturb_multiprocessing</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">consensus_mat</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_consensus_stopping</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calculate_pac</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">get_plot_data</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">simple_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/TELF/factorization/NMFk.html#NMFk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#TELF.factorization.NMFk.NMFk" title="Link to this definition">#</a></dt>
 <dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
 <p>NMFk is a Non-negative Matrix Factorization module with the capability to do automatic model determination.</p>
 <dl class="field-list simple">
@@ -541,14 +541,14 @@ <h2>Submodules<a class="headerlink" href="#submodules" title="Link to this headi
 <p>Even when <code class="docutils literal notranslate"><span class="pre">predict_k=False</span></code>, number of latent factors can be estimated using the figures saved in <code class="docutils literal notranslate"><span class="pre">save_path</span></code>.</p>
 </div>
 </p></li>
-<li><p><strong>predict_k_method</strong> (<em>str</em><em>, </em><em>optional</em>) – <p>Method to use when performing automatic k prediction. Default is “pvalue”.</p>
+<li><p><strong>predict_k_method</strong> (<em>str</em><em>, </em><em>optional</em>) – <p>Method to use when performing automatic k prediction. Default is “sill”.</p>
 <ul>
 <li><p><code class="docutils literal notranslate"><span class="pre">predict_k_method='pvalue'</span></code> will use L-Statistics with column-wise error for automatically estimating the number of latent factors.</p></li>
 <li><p><code class="docutils literal notranslate"><span class="pre">predict_k_method='sill'</span></code> will use Silhouette score for estimating the number of latent factors.</p></li>
 </ul>
 <div class="admonition warning">
 <p class="admonition-title">Warning</p>
-<p><code class="docutils literal notranslate"><span class="pre">predict_k_method='pvalue'</span></code> prediction will result in significantly longer processing time! <code class="docutils literal notranslate"><span class="pre">predict_k_method='sill'</span></code>, on the other hand, will be much faster.</p>
+<p><code class="docutils literal notranslate"><span class="pre">predict_k_method='pvalue'</span></code> prediction will result in significantly longer processing time, altough it is more accurate! <code class="docutils literal notranslate"><span class="pre">predict_k_method='sill'</span></code>, on the other hand, will be much faster.</p>
 </div>
 </p></li>
 <li><p><strong>verbose</strong> (<em>bool</em><em>, </em><em>optional</em>) – If True, shows progress in each k. The default is True.</p></li>
diff --git a/docs/TELF.factorization.utilities.html b/docs/TELF.factorization.utilities.html
index a277e801..2f039ca9 100644
--- a/docs/TELF.factorization.utilities.html
+++ b/docs/TELF.factorization.utilities.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.factorization.utilities package &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.utilities package &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
@@ -477,7 +477,7 @@ <h2>Submodules<a class="headerlink" href="#submodules" title="Link to this headi
 
 <dl class="py function">
 <dt class="sig sig-object py" id="TELF.factorization.utilities.plot_NMFk.plot_NMFk">
-<span class="sig-prename descclassname"><span class="pre">TELF.factorization.utilities.plot_NMFk.</span></span><span class="sig-name descname"><span class="pre">plot_NMFk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k_predict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_predict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_final</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">simple_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/TELF/factorization/utilities/plot_NMFk.html#plot_NMFk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#TELF.factorization.utilities.plot_NMFk.plot_NMFk" title="Link to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">TELF.factorization.utilities.plot_NMFk.</span></span><span class="sig-name descname"><span class="pre">plot_NMFk</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">data</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">k_predict</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">path</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_predict</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plot_final</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">simple_plot</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">calculate_error</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/TELF/factorization/utilities/plot_NMFk.html#plot_NMFk"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#TELF.factorization.utilities.plot_NMFk.plot_NMFk" title="Link to this definition">#</a></dt>
 <dd><dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
 <dd class="field-odd"><ul class="simple">
diff --git a/docs/TELF.html b/docs/TELF.html
index 9c6681c7..675344ab 100644
--- a/docs/TELF.html
+++ b/docs/TELF.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF package &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF package &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/TELF.pre_processing.Beaver.html b/docs/TELF.pre_processing.Beaver.html
index 371aa71f..73bfaec3 100644
--- a/docs/TELF.pre_processing.Beaver.html
+++ b/docs/TELF.pre_processing.Beaver.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.pre_processing.Beaver package &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.pre_processing.Beaver package &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/TELF.pre_processing.Vulture.html b/docs/TELF.pre_processing.Vulture.html
index 9e982a63..76db0759 100644
--- a/docs/TELF.pre_processing.Vulture.html
+++ b/docs/TELF.pre_processing.Vulture.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.pre_processing.Vulture package &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.pre_processing.Vulture package &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
@@ -408,7 +408,7 @@ <h2>Submodules<a class="headerlink" href="#submodules" title="Link to this headi
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_PIPELINE">
-<span class="sig-name descname"><span class="pre">DEFAULT_PIPELINE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[SimpleCleaner(module_type='CLEANER',</span> <span class="pre">effective_stop_words=['characteristics',</span> <span class="pre">'characteristic',</span> <span class="pre">'acknowledgment',</span> <span class="pre">'approximately',</span> <span class="pre">'substantially',</span> <span class="pre">'investigation',</span> <span class="pre">'unfortunately',</span> <span class="pre">'predominantly',</span> <span class="pre">'automatically',</span> <span class="pre">'significantly',</span> <span class="pre">'corresponding',</span> <span class="pre">'demonstrates',</span> <span class="pre">'applications',</span> <span class="pre">'sufficiently',</span> <span class="pre">'specifically',</span> <span class="pre">'particularly',</span> <span class="pre">'consequently',</span> <span class="pre">'introduction',</span> <span class="pre">'successfully',</span> <span class="pre">'representing',</span> <span class="pre">'respectively',</span> <span class="pre">'demonstrated',</span> <span class="pre">'nevertheless',</span> <span class="pre">'performance',</span> <span class="pre">'investigate',</span> <span class="pre">...</span> <span class="pre">(+1359</span> <span class="pre">more)],</span> <span class="pre">patterns={'standardize_hyphens':</span> <span class="pre">(re.compile('[\\u002D\\u2010\\u2011\\u2012\\u2013\\u2014\\u2015\\u2212\\u2E3A\\u2E3B]'),</span> <span class="pre">'-'),</span> <span class="pre">'remove_copyright_statement':</span> <span class="pre">None,</span> <span class="pre">'remove_stop_phrases':</span> <span class="pre">None,</span> <span class="pre">'make_lower_case':</span> <span class="pre">None,</span> <span class="pre">'normalize':</span> <span class="pre">None,</span> <span class="pre">'remove_trailing_dash':</span> <span class="pre">('(?&lt;!\\w)-|-(?!\\w)',</span> <span class="pre">''),</span> <span class="pre">'make_hyphens_words':</span> <span class="pre">('([a-z])\\-([a-z])',</span> <span class="pre">''),</span> <span class="pre">'remove_next_line':</span> <span class="pre">('\\n+',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_email':</span> <span class="pre">('\\S*&#64;\\S*\\s?',</span> <span class="pre">''),</span> <span class="pre">'remove_formulas':</span> <span class="pre">('\\b\\w*[\\=\\≈\\/\\\\\\±]\\w*\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_dash':</span> <span class="pre">('-',</span> <span class="pre">''),</span> <span class="pre">'remove_between_[]':</span> <span class="pre">('\\[.*?\\]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_between_()':</span> <span class="pre">('\\(.*?\\)',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_[]':</span> <span class="pre">('[\\[\\]]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_()':</span> <span class="pre">('[()]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_\\':</span> <span class="pre">('\\\\',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_numbers':</span> <span class="pre">('\\d+',</span> <span class="pre">''),</span> <span class="pre">'remove_standalone_numbers':</span> <span class="pre">('\\b\\d+\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_nonASCII_boundary':</span> <span class="pre">('\\b[^\\x00-\\x7F]+\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_nonASCII':</span> <span class="pre">('[^\\x00-\\x7F]+',</span> <span class="pre">''),</span> <span class="pre">'remove_tags':</span> <span class="pre">('&amp;lt;/?.*?&amp;gt;',</span> <span class="pre">''),</span> <span class="pre">'remove_special_characters':</span> <span class="pre">('[!|&quot;|#|$|%|&amp;|\\|\\\'|(|)|*|+|,|.|/|:|;|&lt;|=|&gt;|?|&#64;|[|\\|]|^|_|`|{|\\||}|~]',</span> <span class="pre">''),</span> <span class="pre">'isolate_frozen':</span> <span class="pre">None,</span> <span class="pre">'remove_extra_whitespace':</span> <span class="pre">('\\s+',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_stop_words':</span> <span class="pre">None,</span> <span class="pre">'min_characters':</span> <span class="pre">None},</span> <span class="pre">sw_pattern=re.compile('\\b[\\w-]+\\b'))]</span></em><a class="headerlink" href="#TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_PIPELINE" title="Link to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">DEFAULT_PIPELINE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[SimpleCleaner(module_type='CLEANER',</span> <span class="pre">effective_stop_words=['characteristics',</span> <span class="pre">'acknowledgment',</span> <span class="pre">'characteristic',</span> <span class="pre">'approximately',</span> <span class="pre">'unfortunately',</span> <span class="pre">'significantly',</span> <span class="pre">'investigation',</span> <span class="pre">'predominantly',</span> <span class="pre">'corresponding',</span> <span class="pre">'automatically',</span> <span class="pre">'substantially',</span> <span class="pre">'demonstrated',</span> <span class="pre">'specifically',</span> <span class="pre">'demonstrates',</span> <span class="pre">'successfully',</span> <span class="pre">'consequently',</span> <span class="pre">'particularly',</span> <span class="pre">'introduction',</span> <span class="pre">'applications',</span> <span class="pre">'sufficiently',</span> <span class="pre">'respectively',</span> <span class="pre">'representing',</span> <span class="pre">'nevertheless',</span> <span class="pre">'observation',</span> <span class="pre">'discovering',</span> <span class="pre">...</span> <span class="pre">(+1359</span> <span class="pre">more)],</span> <span class="pre">patterns={'standardize_hyphens':</span> <span class="pre">(re.compile('[\\u002D\\u2010\\u2011\\u2012\\u2013\\u2014\\u2015\\u2212\\u2E3A\\u2E3B]'),</span> <span class="pre">'-'),</span> <span class="pre">'remove_copyright_statement':</span> <span class="pre">None,</span> <span class="pre">'remove_stop_phrases':</span> <span class="pre">None,</span> <span class="pre">'make_lower_case':</span> <span class="pre">None,</span> <span class="pre">'normalize':</span> <span class="pre">None,</span> <span class="pre">'remove_trailing_dash':</span> <span class="pre">('(?&lt;!\\w)-|-(?!\\w)',</span> <span class="pre">''),</span> <span class="pre">'make_hyphens_words':</span> <span class="pre">('([a-z])\\-([a-z])',</span> <span class="pre">''),</span> <span class="pre">'remove_next_line':</span> <span class="pre">('\\n+',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_email':</span> <span class="pre">('\\S*&#64;\\S*\\s?',</span> <span class="pre">''),</span> <span class="pre">'remove_formulas':</span> <span class="pre">('\\b\\w*[\\=\\≈\\/\\\\\\±]\\w*\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_dash':</span> <span class="pre">('-',</span> <span class="pre">''),</span> <span class="pre">'remove_between_[]':</span> <span class="pre">('\\[.*?\\]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_between_()':</span> <span class="pre">('\\(.*?\\)',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_[]':</span> <span class="pre">('[\\[\\]]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_()':</span> <span class="pre">('[()]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_\\':</span> <span class="pre">('\\\\',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_numbers':</span> <span class="pre">('\\d+',</span> <span class="pre">''),</span> <span class="pre">'remove_standalone_numbers':</span> <span class="pre">('\\b\\d+\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_nonASCII_boundary':</span> <span class="pre">('\\b[^\\x00-\\x7F]+\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_nonASCII':</span> <span class="pre">('[^\\x00-\\x7F]+',</span> <span class="pre">''),</span> <span class="pre">'remove_tags':</span> <span class="pre">('&amp;lt;/?.*?&amp;gt;',</span> <span class="pre">''),</span> <span class="pre">'remove_special_characters':</span> <span class="pre">('[!|&quot;|#|$|%|&amp;|\\|\\\'|(|)|*|+|,|.|/|:|;|&lt;|=|&gt;|?|&#64;|[|\\|]|^|_|`|{|\\||}|~]',</span> <span class="pre">''),</span> <span class="pre">'isolate_frozen':</span> <span class="pre">None,</span> <span class="pre">'remove_extra_whitespace':</span> <span class="pre">('\\s+',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_stop_words':</span> <span class="pre">None,</span> <span class="pre">'min_characters':</span> <span class="pre">None},</span> <span class="pre">sw_pattern=re.compile('\\b[\\w-]+\\b'))]</span></em><a class="headerlink" href="#TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_PIPELINE" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
 <dl class="py attribute">
diff --git a/docs/TELF.pre_processing.Vulture.tokens_analysis.html b/docs/TELF.pre_processing.Vulture.tokens_analysis.html
index 61044ca4..0616934e 100644
--- a/docs/TELF.pre_processing.Vulture.tokens_analysis.html
+++ b/docs/TELF.pre_processing.Vulture.tokens_analysis.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.pre_processing.Vulture.tokens_analysis package &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.pre_processing.Vulture.tokens_analysis package &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -126,7 +126,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/TELF.pre_processing.html b/docs/TELF.pre_processing.html
index 6de962fc..11cfc673 100644
--- a/docs/TELF.pre_processing.html
+++ b/docs/TELF.pre_processing.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.pre_processing package &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.pre_processing package &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/TriNMFk.html b/docs/TriNMFk.html
index bbc93e49..7f1a020b 100644
--- a/docs/TriNMFk.html
+++ b/docs/TriNMFk.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.factorization.TriNMFk: NMFk with Automatic Determination of Latent Clusters and Patterns &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.TriNMFk: NMFk with Automatic Determination of Latent Clusters and Patterns &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/Vulture.html b/docs/Vulture.html
index bb627c62..b4f3e2fb 100644
--- a/docs/Vulture.html
+++ b/docs/Vulture.html
@@ -8,7 +8,7 @@
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
 
-    <title>TELF.pre_processing.Vulture: Advanced text pre-processing and cleaning tool for NLP and text-mining &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.pre_processing.Vulture: Advanced text pre-processing and cleaning tool for NLP and text-mining &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -37,7 +37,7 @@
 <link rel="preload" as="script" href="_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="_static/doctools.js?v=888ff710"></script>
     <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -127,7 +127,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
@@ -480,7 +480,7 @@ <h1>Available Functions<a class="headerlink" href="#available-functions" title="
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_PIPELINE">
-<span class="sig-name descname"><span class="pre">DEFAULT_PIPELINE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[SimpleCleaner(module_type='CLEANER',</span> <span class="pre">effective_stop_words=['characteristics',</span> <span class="pre">'characteristic',</span> <span class="pre">'acknowledgment',</span> <span class="pre">'approximately',</span> <span class="pre">'substantially',</span> <span class="pre">'investigation',</span> <span class="pre">'unfortunately',</span> <span class="pre">'predominantly',</span> <span class="pre">'automatically',</span> <span class="pre">'significantly',</span> <span class="pre">'corresponding',</span> <span class="pre">'demonstrates',</span> <span class="pre">'applications',</span> <span class="pre">'sufficiently',</span> <span class="pre">'specifically',</span> <span class="pre">'particularly',</span> <span class="pre">'consequently',</span> <span class="pre">'introduction',</span> <span class="pre">'successfully',</span> <span class="pre">'representing',</span> <span class="pre">'respectively',</span> <span class="pre">'demonstrated',</span> <span class="pre">'nevertheless',</span> <span class="pre">'performance',</span> <span class="pre">'investigate',</span> <span class="pre">...</span> <span class="pre">(+1359</span> <span class="pre">more)],</span> <span class="pre">patterns={'standardize_hyphens':</span> <span class="pre">(re.compile('[\\u002D\\u2010\\u2011\\u2012\\u2013\\u2014\\u2015\\u2212\\u2E3A\\u2E3B]'),</span> <span class="pre">'-'),</span> <span class="pre">'remove_copyright_statement':</span> <span class="pre">None,</span> <span class="pre">'remove_stop_phrases':</span> <span class="pre">None,</span> <span class="pre">'make_lower_case':</span> <span class="pre">None,</span> <span class="pre">'normalize':</span> <span class="pre">None,</span> <span class="pre">'remove_trailing_dash':</span> <span class="pre">('(?&lt;!\\w)-|-(?!\\w)',</span> <span class="pre">''),</span> <span class="pre">'make_hyphens_words':</span> <span class="pre">('([a-z])\\-([a-z])',</span> <span class="pre">''),</span> <span class="pre">'remove_next_line':</span> <span class="pre">('\\n+',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_email':</span> <span class="pre">('\\S*&#64;\\S*\\s?',</span> <span class="pre">''),</span> <span class="pre">'remove_formulas':</span> <span class="pre">('\\b\\w*[\\=\\≈\\/\\\\\\±]\\w*\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_dash':</span> <span class="pre">('-',</span> <span class="pre">''),</span> <span class="pre">'remove_between_[]':</span> <span class="pre">('\\[.*?\\]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_between_()':</span> <span class="pre">('\\(.*?\\)',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_[]':</span> <span class="pre">('[\\[\\]]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_()':</span> <span class="pre">('[()]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_\\':</span> <span class="pre">('\\\\',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_numbers':</span> <span class="pre">('\\d+',</span> <span class="pre">''),</span> <span class="pre">'remove_standalone_numbers':</span> <span class="pre">('\\b\\d+\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_nonASCII_boundary':</span> <span class="pre">('\\b[^\\x00-\\x7F]+\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_nonASCII':</span> <span class="pre">('[^\\x00-\\x7F]+',</span> <span class="pre">''),</span> <span class="pre">'remove_tags':</span> <span class="pre">('&amp;lt;/?.*?&amp;gt;',</span> <span class="pre">''),</span> <span class="pre">'remove_special_characters':</span> <span class="pre">('[!|&quot;|#|$|%|&amp;|\\|\\\'|(|)|*|+|,|.|/|:|;|&lt;|=|&gt;|?|&#64;|[|\\|]|^|_|`|{|\\||}|~]',</span> <span class="pre">''),</span> <span class="pre">'isolate_frozen':</span> <span class="pre">None,</span> <span class="pre">'remove_extra_whitespace':</span> <span class="pre">('\\s+',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_stop_words':</span> <span class="pre">None,</span> <span class="pre">'min_characters':</span> <span class="pre">None},</span> <span class="pre">sw_pattern=re.compile('\\b[\\w-]+\\b'))]</span></em><a class="headerlink" href="#TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_PIPELINE" title="Link to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">DEFAULT_PIPELINE</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">[SimpleCleaner(module_type='CLEANER',</span> <span class="pre">effective_stop_words=['characteristics',</span> <span class="pre">'acknowledgment',</span> <span class="pre">'characteristic',</span> <span class="pre">'approximately',</span> <span class="pre">'unfortunately',</span> <span class="pre">'significantly',</span> <span class="pre">'investigation',</span> <span class="pre">'predominantly',</span> <span class="pre">'corresponding',</span> <span class="pre">'automatically',</span> <span class="pre">'substantially',</span> <span class="pre">'demonstrated',</span> <span class="pre">'specifically',</span> <span class="pre">'demonstrates',</span> <span class="pre">'successfully',</span> <span class="pre">'consequently',</span> <span class="pre">'particularly',</span> <span class="pre">'introduction',</span> <span class="pre">'applications',</span> <span class="pre">'sufficiently',</span> <span class="pre">'respectively',</span> <span class="pre">'representing',</span> <span class="pre">'nevertheless',</span> <span class="pre">'observation',</span> <span class="pre">'discovering',</span> <span class="pre">...</span> <span class="pre">(+1359</span> <span class="pre">more)],</span> <span class="pre">patterns={'standardize_hyphens':</span> <span class="pre">(re.compile('[\\u002D\\u2010\\u2011\\u2012\\u2013\\u2014\\u2015\\u2212\\u2E3A\\u2E3B]'),</span> <span class="pre">'-'),</span> <span class="pre">'remove_copyright_statement':</span> <span class="pre">None,</span> <span class="pre">'remove_stop_phrases':</span> <span class="pre">None,</span> <span class="pre">'make_lower_case':</span> <span class="pre">None,</span> <span class="pre">'normalize':</span> <span class="pre">None,</span> <span class="pre">'remove_trailing_dash':</span> <span class="pre">('(?&lt;!\\w)-|-(?!\\w)',</span> <span class="pre">''),</span> <span class="pre">'make_hyphens_words':</span> <span class="pre">('([a-z])\\-([a-z])',</span> <span class="pre">''),</span> <span class="pre">'remove_next_line':</span> <span class="pre">('\\n+',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_email':</span> <span class="pre">('\\S*&#64;\\S*\\s?',</span> <span class="pre">''),</span> <span class="pre">'remove_formulas':</span> <span class="pre">('\\b\\w*[\\=\\≈\\/\\\\\\±]\\w*\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_dash':</span> <span class="pre">('-',</span> <span class="pre">''),</span> <span class="pre">'remove_between_[]':</span> <span class="pre">('\\[.*?\\]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_between_()':</span> <span class="pre">('\\(.*?\\)',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_[]':</span> <span class="pre">('[\\[\\]]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_()':</span> <span class="pre">('[()]',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_\\':</span> <span class="pre">('\\\\',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_numbers':</span> <span class="pre">('\\d+',</span> <span class="pre">''),</span> <span class="pre">'remove_standalone_numbers':</span> <span class="pre">('\\b\\d+\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_nonASCII_boundary':</span> <span class="pre">('\\b[^\\x00-\\x7F]+\\b',</span> <span class="pre">''),</span> <span class="pre">'remove_nonASCII':</span> <span class="pre">('[^\\x00-\\x7F]+',</span> <span class="pre">''),</span> <span class="pre">'remove_tags':</span> <span class="pre">('&amp;lt;/?.*?&amp;gt;',</span> <span class="pre">''),</span> <span class="pre">'remove_special_characters':</span> <span class="pre">('[!|&quot;|#|$|%|&amp;|\\|\\\'|(|)|*|+|,|.|/|:|;|&lt;|=|&gt;|?|&#64;|[|\\|]|^|_|`|{|\\||}|~]',</span> <span class="pre">''),</span> <span class="pre">'isolate_frozen':</span> <span class="pre">None,</span> <span class="pre">'remove_extra_whitespace':</span> <span class="pre">('\\s+',</span> <span class="pre">'</span> <span class="pre">'),</span> <span class="pre">'remove_stop_words':</span> <span class="pre">None,</span> <span class="pre">'min_characters':</span> <span class="pre">None},</span> <span class="pre">sw_pattern=re.compile('\\b[\\w-]+\\b'))]</span></em><a class="headerlink" href="#TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_PIPELINE" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
 <dl class="py attribute">
diff --git a/docs/_modules/TELF/applications/Cheetah/cheetah.html b/docs/_modules/TELF/applications/Cheetah/cheetah.html
index 5fc00d20..999796bc 100644
--- a/docs/_modules/TELF/applications/Cheetah/cheetah.html
+++ b/docs/_modules/TELF/applications/Cheetah/cheetah.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.applications.Cheetah.cheetah &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.applications.Cheetah.cheetah &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
 <link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="../../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="../../../../_static/doctools.js?v=888ff710"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/NMFk.html b/docs/_modules/TELF/factorization/NMFk.html
index d9e2e5c4..b92a56b8 100644
--- a/docs/_modules/TELF/factorization/NMFk.html
+++ b/docs/_modules/TELF/factorization/NMFk.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.NMFk &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.NMFk &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
 <link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="../../../_static/doctools.js?v=888ff710"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
@@ -537,9 +537,10 @@ <h1>Source code for TELF.factorization.NMFk</h1><div class="highlight"><pre>
 
     <span class="c1">#</span>
     <span class="c1"># cluster the solutions</span>
-    <span class="c1">#        </span>
+    <span class="c1"># </span>
     <span class="n">W</span><span class="p">,</span> <span class="n">W_clust</span> <span class="o">=</span> <span class="n">custom_k_means</span><span class="p">(</span><span class="n">W_all</span><span class="p">,</span> <span class="n">use_gpu</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
-    <span class="n">sils_all</span> <span class="o">=</span> <span class="n">silhouettes</span><span class="p">(</span><span class="n">W_clust</span><span class="p">)</span>
+    <span class="n">sils_all_W</span> <span class="o">=</span> <span class="n">silhouettes</span><span class="p">(</span><span class="n">W_clust</span><span class="p">)</span>
+    <span class="n">sils_all_H</span> <span class="o">=</span> <span class="n">silhouettes</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">H_all</span><span class="p">)</span><span class="o">.</span><span class="n">transpose</span><span class="p">((</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
 
     <span class="c1">#</span>
     <span class="c1"># concensus matrix</span>
@@ -597,7 +598,8 @@ <h1>Source code for TELF.factorization.NMFk</h1><div class="highlight"><pre>
         <span class="n">save_data</span> <span class="o">=</span> <span class="p">{</span>
             <span class="s2">&quot;W&quot;</span><span class="p">:</span> <span class="n">W</span><span class="p">,</span>
             <span class="s2">&quot;H&quot;</span><span class="p">:</span> <span class="n">H</span><span class="p">,</span>
-            <span class="s2">&quot;sils_all&quot;</span><span class="p">:</span> <span class="n">sils_all</span><span class="p">,</span>
+            <span class="s2">&quot;sils_all_W&quot;</span><span class="p">:</span> <span class="n">sils_all_W</span><span class="p">,</span>
+            <span class="s2">&quot;sils_all_H&quot;</span><span class="p">:</span> <span class="n">sils_all_H</span><span class="p">,</span>
             <span class="s2">&quot;error_reg&quot;</span><span class="p">:</span> <span class="n">error_reg</span><span class="p">,</span>
             <span class="s2">&quot;errors&quot;</span><span class="p">:</span> <span class="n">errors</span><span class="p">,</span>
             <span class="s2">&quot;reordered_con_mat&quot;</span><span class="p">:</span> <span class="n">reordered_con_mat</span><span class="p">,</span>
@@ -618,12 +620,18 @@ <h1>Source code for TELF.factorization.NMFk</h1><div class="highlight"><pre>
         <span class="k">for</span> <span class="n">key</span> <span class="ow">in</span> <span class="n">logging_stats</span><span class="p">:</span>
             <span class="k">if</span> <span class="n">key</span> <span class="o">==</span> <span class="s1">&#39;k&#39;</span><span class="p">:</span>
                 <span class="n">plot_data</span><span class="p">[</span><span class="s2">&quot;k&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">k</span>
-            <span class="k">elif</span> <span class="n">key</span> <span class="o">==</span>  <span class="s1">&#39;sils_min&#39;</span><span class="p">:</span>
-                <span class="n">sils_min</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
-                <span class="n">plot_data</span><span class="p">[</span><span class="s2">&quot;sils_min&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{0:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">sils_min</span><span class="p">)</span>
-            <span class="k">elif</span> <span class="n">key</span> <span class="o">==</span> <span class="s1">&#39;sils_mean&#39;</span><span class="p">:</span>
-                <span class="n">sils_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
-                <span class="n">plot_data</span><span class="p">[</span><span class="s2">&quot;sils_mean&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{0:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">sils_mean</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="n">key</span> <span class="o">==</span>  <span class="s1">&#39;sils_min_W&#39;</span><span class="p">:</span>
+                <span class="n">sils_min_W</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_W</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+                <span class="n">plot_data</span><span class="p">[</span><span class="s2">&quot;sils_min_W&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{0:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">sils_min_W</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="n">key</span> <span class="o">==</span> <span class="s1">&#39;sils_mean_W&#39;</span><span class="p">:</span>
+                <span class="n">sils_mean_W</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_W</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+                <span class="n">plot_data</span><span class="p">[</span><span class="s2">&quot;sils_mean_W&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{0:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">sils_mean_W</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="n">key</span> <span class="o">==</span>  <span class="s1">&#39;sils_min_H&#39;</span><span class="p">:</span>
+                <span class="n">sils_min_H</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_H</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+                <span class="n">plot_data</span><span class="p">[</span><span class="s2">&quot;sils_min_H&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{0:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">sils_min_H</span><span class="p">)</span>
+            <span class="k">elif</span> <span class="n">key</span> <span class="o">==</span> <span class="s1">&#39;sils_mean_H&#39;</span><span class="p">:</span>
+                <span class="n">sils_mean_H</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_H</span><span class="p">,</span> <span class="mi">1</span><span class="p">))</span>
+                <span class="n">plot_data</span><span class="p">[</span><span class="s2">&quot;sils_mean_H&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{0:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">sils_mean_H</span><span class="p">)</span>
             <span class="k">elif</span> <span class="n">key</span> <span class="o">==</span> <span class="s1">&#39;err_mean&#39;</span><span class="p">:</span>
                 <span class="n">err_mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">errors</span><span class="p">)</span>
                 <span class="n">plot_data</span><span class="p">[</span><span class="s2">&quot;err_mean&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;</span><span class="si">{0:.3f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">err_mean</span><span class="p">)</span>
@@ -650,10 +658,17 @@ <h1>Source code for TELF.factorization.NMFk</h1><div class="highlight"><pre>
         <span class="s2">&quot;err_mean&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">errors</span><span class="p">),</span>
         <span class="s2">&quot;err_std&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">errors</span><span class="p">),</span>
         <span class="s2">&quot;err_reg&quot;</span><span class="p">:</span><span class="n">error_reg</span><span class="p">,</span>
-        <span class="s2">&quot;sils_min&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
-        <span class="s2">&quot;sils_mean&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
-        <span class="s2">&quot;sils_std&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
-        <span class="s2">&quot;sils_all&quot;</span><span class="p">:</span><span class="n">sils_all</span><span class="p">,</span>
+
+        <span class="s2">&quot;sils_min_W&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_W</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
+        <span class="s2">&quot;sils_mean_W&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_W</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
+        <span class="s2">&quot;sils_std_W&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_W</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
+        <span class="s2">&quot;sils_all_W&quot;</span><span class="p">:</span><span class="n">sils_all_W</span><span class="p">,</span>
+
+        <span class="s2">&quot;sils_min_H&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_H</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
+        <span class="s2">&quot;sils_mean_H&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_H</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
+        <span class="s2">&quot;sils_std_H&quot;</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">sils_all_H</span><span class="p">,</span> <span class="mi">1</span><span class="p">)),</span>
+        <span class="s2">&quot;sils_all_H&quot;</span><span class="p">:</span><span class="n">sils_all_H</span><span class="p">,</span>
+
         <span class="s2">&quot;cophenetic_coeff&quot;</span><span class="p">:</span><span class="n">coeff_k</span><span class="p">,</span>
         <span class="s2">&quot;col_err&quot;</span><span class="p">:</span><span class="n">curr_col_err</span><span class="p">,</span>
     <span class="p">}</span>
@@ -683,7 +698,7 @@ <h1>Source code for TELF.factorization.NMFk</h1><div class="highlight"><pre>
             <span class="n">save_output</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
             <span class="n">collect_output</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
             <span class="n">predict_k</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
-            <span class="n">predict_k_method</span><span class="o">=</span><span class="s2">&quot;pvalue&quot;</span><span class="p">,</span>
+            <span class="n">predict_k_method</span><span class="o">=</span><span class="s2">&quot;sill&quot;</span><span class="p">,</span>
             <span class="n">verbose</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
             <span class="n">nmf_verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
             <span class="n">perturb_verbose</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
@@ -741,13 +756,13 @@ <h1>Source code for TELF.factorization.NMFk</h1><div class="highlight"><pre>
 <span class="sd">                Even when ``predict_k=False``, number of latent factors can be estimated using the figures saved in ``save_path``.</span>
 
 <span class="sd">        predict_k_method : str, optional</span>
-<span class="sd">            Method to use when performing automatic k prediction. Default is &quot;pvalue&quot;.\n</span>
+<span class="sd">            Method to use when performing automatic k prediction. Default is &quot;sill&quot;.\n</span>
 <span class="sd">            * ``predict_k_method=&#39;pvalue&#39;`` will use L-Statistics with column-wise error for automatically estimating the number of latent factors.\n</span>
 <span class="sd">            * ``predict_k_method=&#39;sill&#39;`` will use Silhouette score for estimating the number of latent factors.</span>
 
 <span class="sd">            .. warning::</span>
 
-<span class="sd">                ``predict_k_method=&#39;pvalue&#39;`` prediction will result in significantly longer processing time! ``predict_k_method=&#39;sill&#39;``, on the other hand, will be much faster.</span>
+<span class="sd">                ``predict_k_method=&#39;pvalue&#39;`` prediction will result in significantly longer processing time, altough it is more accurate! ``predict_k_method=&#39;sill&#39;``, on the other hand, will be much faster.</span>
 
 <span class="sd">        verbose : bool, optional</span>
 <span class="sd">            If True, shows progress in each k. The default is True.</span>
@@ -1070,8 +1085,11 @@ <h1>Source code for TELF.factorization.NMFk</h1><div class="highlight"><pre>
         <span class="c1"># init the stats header </span>
         <span class="c1"># this will setup the logging for all configurations of nmfk</span>
         <span class="n">stats_header</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;k&#39;</span><span class="p">:</span> <span class="s1">&#39;k&#39;</span><span class="p">,</span> 
-                        <span class="s1">&#39;sils_min&#39;</span><span class="p">:</span> <span class="s1">&#39;Min. Silhouette&#39;</span><span class="p">,</span> 
-                        <span class="s1">&#39;sils_mean&#39;</span><span class="p">:</span> <span class="s1">&#39;Mean Silhouette&#39;</span><span class="p">}</span>
+                        <span class="s1">&#39;sils_min_W&#39;</span><span class="p">:</span> <span class="s1">&#39;W Min. Silhouette&#39;</span><span class="p">,</span> 
+                        <span class="s1">&#39;sils_mean_W&#39;</span><span class="p">:</span> <span class="s1">&#39;W Mean Silhouette&#39;</span><span class="p">,</span>
+                        <span class="s1">&#39;sils_min_H&#39;</span><span class="p">:</span> <span class="s1">&#39;H Min. Silhouette&#39;</span><span class="p">,</span> 
+                        <span class="s1">&#39;sils_mean_H&#39;</span><span class="p">:</span> <span class="s1">&#39;H Mean Silhouette&#39;</span><span class="p">,</span>
+                        <span class="p">}</span>
         <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">calculate_error</span><span class="p">:</span>
             <span class="n">stats_header</span><span class="p">[</span><span class="s1">&#39;err_mean&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;Mean Error&#39;</span>
             <span class="n">stats_header</span><span class="p">[</span><span class="s1">&#39;err_std&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="s1">&#39;STD Error&#39;</span>
@@ -1231,11 +1249,14 @@ <h1>Source code for TELF.factorization.NMFk</h1><div class="highlight"><pre>
             <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">predict_k</span><span class="p">:</span>
                 <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">predict_k_method</span> <span class="o">==</span> <span class="s2">&quot;pvalue&quot;</span><span class="p">:</span>
                     <span class="n">k_predict</span> <span class="o">=</span> <span class="n">pvalue_analysis</span><span class="p">(</span>
-                        <span class="n">combined_result</span><span class="p">[</span><span class="s2">&quot;col_err&quot;</span><span class="p">],</span> <span class="n">Ks</span><span class="p">,</span> <span class="n">combined_result</span><span class="p">[</span><span class="s2">&quot;sils_min&quot;</span><span class="p">],</span> <span class="n">SILL_thr</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">sill_thresh</span>
+                        <span class="n">combined_result</span><span class="p">[</span><span class="s2">&quot;col_err&quot;</span><span class="p">],</span> <span class="n">Ks</span><span class="p">,</span> <span class="n">combined_result</span><span class="p">[</span><span class="s2">&quot;sils_min_W&quot;</span><span class="p">],</span> <span class="n">SILL_thr</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">sill_thresh</span>
                     <span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
                 <span class="k">elif</span> <span class="bp">self</span><span class="o">.</span><span class="n">predict_k_method</span> <span class="o">==</span> <span class="s2">&quot;sill&quot;</span><span class="p">:</span>
-                    <span class="n">k_predict</span> <span class="o">=</span> <span class="n">Ks</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">argwhere</span><span class="p">(</span>
-                        <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">combined_result</span><span class="p">[</span><span class="s2">&quot;sils_min&quot;</span><span class="p">])</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sill_thresh</span><span class="p">)</span><span class="o">.</span><span class="n">flatten</span><span class="p">())]</span>
+                    <span class="n">k_predict_W</span> <span class="o">=</span> <span class="n">Ks</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">argwhere</span><span class="p">(</span>
+                        <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">combined_result</span><span class="p">[</span><span class="s2">&quot;sils_min_W&quot;</span><span class="p">])</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sill_thresh</span><span class="p">)</span><span class="o">.</span><span class="n">flatten</span><span class="p">())]</span>
+                    <span class="n">k_predict_H</span> <span class="o">=</span> <span class="n">Ks</span><span class="p">[</span><span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">argwhere</span><span class="p">(</span>
+                        <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">combined_result</span><span class="p">[</span><span class="s2">&quot;sils_min_H&quot;</span><span class="p">])</span> <span class="o">&gt;=</span> <span class="bp">self</span><span class="o">.</span><span class="n">sill_thresh</span><span class="p">)</span><span class="o">.</span><span class="n">flatten</span><span class="p">())]</span>
+                    <span class="n">k_predict</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">k_predict_W</span><span class="p">,</span> <span class="n">k_predict_H</span><span class="p">)</span>
             <span class="k">else</span><span class="p">:</span>
                 <span class="n">k_predict</span> <span class="o">=</span> <span class="mi">0</span>
                 
@@ -1279,7 +1300,8 @@ <h1>Source code for TELF.factorization.NMFk</h1><div class="highlight"><pre>
                     <span class="bp">self</span><span class="o">.</span><span class="n">save_path_full</span><span class="p">,</span> 
                     <span class="n">plot_predict</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">predict_k</span><span class="p">,</span>
                     <span class="n">plot_final</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
-                    <span class="n">simple_plot</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">simple_plot</span>
+                    <span class="n">simple_plot</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">simple_plot</span><span class="p">,</span>
+                    <span class="n">calculate_error</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">calculate_error</span>
                 <span class="p">)</span>
                 <span class="n">append_to_note</span><span class="p">([</span><span class="s2">&quot;#&quot;</span> <span class="o">*</span> <span class="mi">100</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">save_path_full</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="n">note_name</span><span class="p">,</span> <span class="n">lock</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">lock</span><span class="p">)</span>
                 <span class="n">append_to_note</span><span class="p">([</span><span class="s2">&quot;end_time= &quot;</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">datetime</span><span class="o">.</span><span class="n">now</span><span class="p">())],</span> <span class="bp">self</span><span class="o">.</span><span class="n">save_path_full</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="n">note_name</span><span class="p">,</span> <span class="n">lock</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">lock</span><span class="p">)</span>
diff --git a/docs/_modules/TELF/factorization/RESCALk.html b/docs/_modules/TELF/factorization/RESCALk.html
index 5b6bfac2..153fde12 100644
--- a/docs/_modules/TELF/factorization/RESCALk.html
+++ b/docs/_modules/TELF/factorization/RESCALk.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.RESCALk &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.RESCALk &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
 <link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="../../../_static/doctools.js?v=888ff710"></script>
     <script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/SymNMFk.html b/docs/_modules/TELF/factorization/SymNMFk.html
index e900b51c..6af40d04 100644
--- a/docs/_modules/TELF/factorization/SymNMFk.html
+++ b/docs/_modules/TELF/factorization/SymNMFk.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.SymNMFk &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.SymNMFk &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
 <link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
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--- a/docs/_modules/TELF/factorization/decompositions/utilities/data_reshaping.html
+++ b/docs/_modules/TELF/factorization/decompositions/utilities/data_reshaping.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.decompositions.utilities.data_reshaping &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.decompositions.utilities.data_reshaping &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
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-    <script src="../../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../../_static/documentation_options.js?v=38cd2e5d"></script>
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@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/decompositions/utilities/generic_utils.html b/docs/_modules/TELF/factorization/decompositions/utilities/generic_utils.html
index 8f922a27..156e662c 100644
--- a/docs/_modules/TELF/factorization/decompositions/utilities/generic_utils.html
+++ b/docs/_modules/TELF/factorization/decompositions/utilities/generic_utils.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.decompositions.utilities.generic_utils &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.decompositions.utilities.generic_utils &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
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-    <script src="../../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../../_static/documentation_options.js?v=38cd2e5d"></script>
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@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/decompositions/utilities/math_utils.html b/docs/_modules/TELF/factorization/decompositions/utilities/math_utils.html
index 89c8824d..b49725b6 100644
--- a/docs/_modules/TELF/factorization/decompositions/utilities/math_utils.html
+++ b/docs/_modules/TELF/factorization/decompositions/utilities/math_utils.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.decompositions.utilities.math_utils &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.decompositions.utilities.math_utils &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
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-    <script src="../../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../../_static/documentation_options.js?v=38cd2e5d"></script>
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@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/decompositions/utilities/nnsvd.html b/docs/_modules/TELF/factorization/decompositions/utilities/nnsvd.html
index 4c6bff4b..9b77188f 100644
--- a/docs/_modules/TELF/factorization/decompositions/utilities/nnsvd.html
+++ b/docs/_modules/TELF/factorization/decompositions/utilities/nnsvd.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.decompositions.utilities.nnsvd &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.decompositions.utilities.nnsvd &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
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-    <script src="../../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../../_static/documentation_options.js?v=38cd2e5d"></script>
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@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/decompositions/utilities/resample.html b/docs/_modules/TELF/factorization/decompositions/utilities/resample.html
index 3f8fa686..867dede1 100644
--- a/docs/_modules/TELF/factorization/decompositions/utilities/resample.html
+++ b/docs/_modules/TELF/factorization/decompositions/utilities/resample.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.decompositions.utilities.resample &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.decompositions.utilities.resample &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
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-    <script src="../../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../../_static/documentation_options.js?v=38cd2e5d"></script>
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@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/decompositions/utilities/silhouettes.html b/docs/_modules/TELF/factorization/decompositions/utilities/silhouettes.html
index 1cf6f89f..b3b28e7a 100644
--- a/docs/_modules/TELF/factorization/decompositions/utilities/silhouettes.html
+++ b/docs/_modules/TELF/factorization/decompositions/utilities/silhouettes.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.decompositions.utilities.silhouettes &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.decompositions.utilities.silhouettes &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
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-    <script src="../../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../../_static/documentation_options.js?v=38cd2e5d"></script>
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@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/utilities/clustering.html b/docs/_modules/TELF/factorization/utilities/clustering.html
index d2c96599..5ced9299 100644
--- a/docs/_modules/TELF/factorization/utilities/clustering.html
+++ b/docs/_modules/TELF/factorization/utilities/clustering.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.utilities.clustering &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.utilities.clustering &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
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-    <script src="../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../_static/documentation_options.js?v=38cd2e5d"></script>
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     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/utilities/co_occurance_matrix.html b/docs/_modules/TELF/factorization/utilities/co_occurance_matrix.html
index 90674e1f..b0823712 100644
--- a/docs/_modules/TELF/factorization/utilities/co_occurance_matrix.html
+++ b/docs/_modules/TELF/factorization/utilities/co_occurance_matrix.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.utilities.co_occurance_matrix &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.utilities.co_occurance_matrix &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
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-    <script src="../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="../../../../_static/doctools.js?v=888ff710"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/utilities/organize_n_jobs.html b/docs/_modules/TELF/factorization/utilities/organize_n_jobs.html
index f394e02d..900966fb 100644
--- a/docs/_modules/TELF/factorization/utilities/organize_n_jobs.html
+++ b/docs/_modules/TELF/factorization/utilities/organize_n_jobs.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.utilities.organize_n_jobs &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.utilities.organize_n_jobs &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
 <link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
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-    <script src="../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../_static/documentation_options.js?v=38cd2e5d"></script>
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     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
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@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/utilities/plot_NMFk.html b/docs/_modules/TELF/factorization/utilities/plot_NMFk.html
index 10e3b94a..9068d113 100644
--- a/docs/_modules/TELF/factorization/utilities/plot_NMFk.html
+++ b/docs/_modules/TELF/factorization/utilities/plot_NMFk.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.utilities.plot_NMFk &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.utilities.plot_NMFk &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
 <link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="../../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="../../../../_static/doctools.js?v=888ff710"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
@@ -398,7 +398,7 @@ <h1>Source code for TELF.factorization.utilities.plot_NMFk</h1><div class="highl
 
 <div class="viewcode-block" id="plot_NMFk">
 <a class="viewcode-back" href="../../../../TELF.factorization.utilities.html#TELF.factorization.utilities.plot_NMFk.plot_NMFk">[docs]</a>
-<span class="k">def</span> <span class="nf">plot_NMFk</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">k_predict</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">path</span><span class="p">,</span> <span class="n">plot_predict</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">plot_final</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">simple_plot</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">plot_NMFk</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">k_predict</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">path</span><span class="p">,</span> <span class="n">plot_predict</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">plot_final</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">simple_plot</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">calculate_error</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
 
 
@@ -429,33 +429,52 @@ <h1>Source code for TELF.factorization.utilities.plot_NMFk</h1><div class="highl
     <span class="n">ax1</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;latent dimension&quot;</span><span class="p">)</span>
     
     <span class="k">if</span> <span class="n">pac</span><span class="p">:</span>
-        <span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;silhouette - pac&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">color</span><span class="p">)</span>
+        <span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;silhouette - pac&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;black&quot;</span><span class="p">)</span>
     <span class="k">else</span><span class="p">:</span>
         <span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;silhouette&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">color</span><span class="p">)</span>
-        
+
+    <span class="c1"># W sill  </span>
     <span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
         <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]),</span>
-        <span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min&quot;</span><span class="p">],</span>
+        <span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_W&quot;</span><span class="p">],</span>
         <span class="s2">&quot;o-&quot;</span><span class="p">,</span>
         <span class="n">color</span><span class="o">=</span><span class="n">color</span><span class="p">,</span>
-        <span class="n">label</span><span class="o">=</span><span class="s2">&quot;minimum silhouette&quot;</span><span class="p">,</span>
+        <span class="n">label</span><span class="o">=</span><span class="s2">&quot;W minimum silhouette&quot;</span><span class="p">,</span>
+    <span class="p">)</span>
+
+    <span class="c1"># H sill</span>
+    <span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
+        <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]),</span>
+        <span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_H&quot;</span><span class="p">],</span>
+        <span class="s2">&quot;o-.&quot;</span><span class="p">,</span>
+        <span class="n">color</span><span class="o">=</span><span class="s2">&quot;purple&quot;</span><span class="p">,</span>
+        <span class="n">label</span><span class="o">=</span><span class="s2">&quot;H minimum silhouette&quot;</span><span class="p">,</span>
     <span class="p">)</span>
     
     <span class="c1"># add a vertical line for xtick k-values to make it easier to see which point corresponds to which k</span>
-    <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min&quot;</span><span class="p">],</span> <span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">):</span>  <span class="c1"># if plot contains more than one k-value</span>
+    <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_W&quot;</span><span class="p">],</span> <span class="n">np</span><span class="o">.</span><span class="n">float64</span><span class="p">):</span>  <span class="c1"># if plot contains more than one k-value</span>
         <span class="k">for</span> <span class="n">xtick</span> <span class="ow">in</span> <span class="n">ax1</span><span class="o">.</span><span class="n">get_xticks</span><span class="p">():</span>
             <span class="k">if</span> <span class="n">xtick</span> <span class="ow">in</span> <span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]:</span>
-                <span class="n">y</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min&quot;</span><span class="p">][</span><span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="n">xtick</span><span class="p">)[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]]</span>  <span class="c1"># get the y value that corresponds to xtick</span>
-                <span class="n">plt</span><span class="o">.</span><span class="n">vlines</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span> <span class="nb">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min&quot;</span><span class="p">]</span> <span class="o">+</span> <span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="n">y</span><span class="p">,</span> <span class="n">colors</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.4</span><span class="p">)</span>
+                <span class="n">y</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_W&quot;</span><span class="p">][</span><span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="n">xtick</span><span class="p">)[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]]</span>  <span class="c1"># get the y value that corresponds to xtick</span>
+                <span class="n">plt</span><span class="o">.</span><span class="n">vlines</span><span class="p">(</span><span class="n">xtick</span><span class="p">,</span> <span class="nb">min</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_H&quot;</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_W&quot;</span><span class="p">])]),</span> <span class="n">y</span><span class="p">,</span> <span class="n">colors</span><span class="o">=</span><span class="s1">&#39;black&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.4</span><span class="p">)</span>
 
     <span class="k">if</span> <span class="ow">not</span> <span class="n">simple_plot</span><span class="p">:</span>
         <span class="n">ax1</span><span class="o">.</span><span class="n">errorbar</span><span class="p">(</span>
             <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]),</span>
-            <span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_mean&quot;</span><span class="p">],</span>
-            <span class="n">yerr</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_std&quot;</span><span class="p">],</span>
+            <span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_mean_W&quot;</span><span class="p">],</span>
+            <span class="n">yerr</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_std_W&quot;</span><span class="p">],</span>
             <span class="n">fmt</span><span class="o">=</span><span class="s2">&quot;^:&quot;</span><span class="p">,</span>
             <span class="n">color</span><span class="o">=</span><span class="s2">&quot;tab:green&quot;</span><span class="p">,</span>
-            <span class="n">label</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;mean +- std silhouette&quot;</span><span class="p">,</span>
+            <span class="n">label</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;W mean +- std silhouette&quot;</span><span class="p">,</span>
+        <span class="p">)</span>
+
+        <span class="n">ax1</span><span class="o">.</span><span class="n">errorbar</span><span class="p">(</span>
+            <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]),</span>
+            <span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_mean_H&quot;</span><span class="p">],</span>
+            <span class="n">yerr</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_std_H&quot;</span><span class="p">],</span>
+            <span class="n">fmt</span><span class="o">=</span><span class="s2">&quot;^-.&quot;</span><span class="p">,</span>
+            <span class="n">color</span><span class="o">=</span><span class="s2">&quot;tab:green&quot;</span><span class="p">,</span>
+            <span class="n">label</span><span class="o">=</span><span class="sa">r</span><span class="s2">&quot;H mean +- std silhouette&quot;</span><span class="p">,</span>
         <span class="p">)</span>
 
     <span class="c1"># pac</span>
@@ -469,9 +488,10 @@ <h1>Source code for TELF.factorization.utilities.plot_NMFk</h1><div class="highl
             <span class="n">color</span><span class="o">=</span><span class="n">color</span><span class="p">,</span>
             <span class="n">label</span><span class="o">=</span><span class="s2">&quot;PAC&quot;</span><span class="p">,</span>
         <span class="p">)</span>
-        <span class="n">ax1</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="nb">min</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min&quot;</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;pac&quot;</span><span class="p">]))),</span> <span class="mi">1</span><span class="p">)</span>
+        
+        <span class="n">ax1</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="nb">min</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_H&quot;</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_W&quot;</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;pac&quot;</span><span class="p">])]),</span> <span class="mi">1</span><span class="p">)</span>
     <span class="k">else</span><span class="p">:</span>
-        <span class="n">ax1</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min&quot;</span><span class="p">])),</span> <span class="mi">1</span><span class="p">)</span>
+        <span class="n">ax1</span><span class="o">.</span><span class="n">set_ylim</span><span class="p">(</span><span class="nb">min</span><span class="p">([</span><span class="mi">0</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_H&quot;</span><span class="p">]),</span> <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;sils_min_W&quot;</span><span class="p">])]),</span> <span class="mi">1</span><span class="p">)</span>
     
     <span class="n">ax1</span><span class="o">.</span><span class="n">tick_params</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="n">labelcolor</span><span class="o">=</span><span class="n">color</span><span class="p">)</span>
     
@@ -494,35 +514,47 @@ <h1>Source code for TELF.factorization.utilities.plot_NMFk</h1><div class="highl
     <span class="p">)</span>
     
     <span class="c1"># relative error</span>
-    <span class="n">ax2</span> <span class="o">=</span> <span class="n">ax1</span><span class="o">.</span><span class="n">twinx</span><span class="p">()</span>
-    <span class="n">color</span> <span class="o">=</span> <span class="s2">&quot;tab:blue&quot;</span>
-    <span class="n">ax2</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;relative error&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">color</span><span class="p">)</span>
-    <span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
-        <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]),</span>
-        <span class="n">data</span><span class="p">[</span><span class="s2">&quot;err_reg&quot;</span><span class="p">],</span>
-        <span class="s2">&quot;o-&quot;</span><span class="p">,</span>
-        <span class="n">color</span><span class="o">=</span><span class="n">color</span><span class="p">,</span>
-        <span class="n">label</span><span class="o">=</span><span class="s2">&quot;regression relative error&quot;</span><span class="p">,</span>
-    <span class="p">)</span>
-    
-    <span class="k">if</span> <span class="ow">not</span> <span class="n">simple_plot</span><span class="p">:</span>
-        <span class="n">ax2</span><span class="o">.</span><span class="n">errorbar</span><span class="p">(</span>
+    <span class="k">if</span> <span class="n">calculate_error</span><span class="p">:</span>
+        <span class="n">ax2</span> <span class="o">=</span> <span class="n">ax1</span><span class="o">.</span><span class="n">twinx</span><span class="p">()</span>
+        <span class="n">color</span> <span class="o">=</span> <span class="s2">&quot;tab:blue&quot;</span>
+        <span class="n">ax2</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s2">&quot;relative error&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="n">color</span><span class="p">)</span>
+        <span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span>
             <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]),</span>
-            <span class="n">data</span><span class="p">[</span><span class="s2">&quot;err_mean&quot;</span><span class="p">],</span>
-            <span class="n">yerr</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;err_std&quot;</span><span class="p">],</span>
-            <span class="n">fmt</span><span class="o">=</span><span class="s2">&quot;^:&quot;</span><span class="p">,</span>
-            <span class="n">color</span><span class="o">=</span><span class="s2">&quot;tab:orange&quot;</span><span class="p">,</span>
-            <span class="n">label</span><span class="o">=</span><span class="s2">&quot;perturbation relative error mean +- std&quot;</span><span class="p">,</span>
+            <span class="n">data</span><span class="p">[</span><span class="s2">&quot;err_reg&quot;</span><span class="p">],</span>
+            <span class="s2">&quot;o-&quot;</span><span class="p">,</span>
+            <span class="n">color</span><span class="o">=</span><span class="n">color</span><span class="p">,</span>
+            <span class="n">label</span><span class="o">=</span><span class="s2">&quot;regression relative error&quot;</span><span class="p">,</span>
         <span class="p">)</span>
+        
+        <span class="k">if</span> <span class="ow">not</span> <span class="n">simple_plot</span><span class="p">:</span>
+            <span class="n">ax2</span><span class="o">.</span><span class="n">errorbar</span><span class="p">(</span>
+                <span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]),</span>
+                <span class="n">data</span><span class="p">[</span><span class="s2">&quot;err_mean&quot;</span><span class="p">],</span>
+                <span class="n">yerr</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;err_std&quot;</span><span class="p">],</span>
+                <span class="n">fmt</span><span class="o">=</span><span class="s2">&quot;^:&quot;</span><span class="p">,</span>
+                <span class="n">color</span><span class="o">=</span><span class="s2">&quot;tab:orange&quot;</span><span class="p">,</span>
+                <span class="n">label</span><span class="o">=</span><span class="s2">&quot;perturbation relative error mean +- std&quot;</span><span class="p">,</span>
+            <span class="p">)</span>
 
-    <span class="n">ax2</span><span class="o">.</span><span class="n">tick_params</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="n">labelcolor</span><span class="o">=</span><span class="n">color</span><span class="p">)</span>
-    <span class="n">ax2</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span>
+        <span class="n">ax2</span><span class="o">.</span><span class="n">tick_params</span><span class="p">(</span><span class="n">axis</span><span class="o">=</span><span class="s2">&quot;y&quot;</span><span class="p">,</span> <span class="n">labelcolor</span><span class="o">=</span><span class="n">color</span><span class="p">)</span>
+        <span class="n">ax2</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span>
+            <span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper right&quot;</span><span class="p">,</span>
+            <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.07</span><span class="p">),</span>
+            <span class="n">fancybox</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+            <span class="n">shadow</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+            <span class="n">handlelength</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
+        <span class="p">)</span>
+
+    <span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span>
         <span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper right&quot;</span><span class="p">,</span>
-        <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.07</span><span class="p">),</span>
+        <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">.9</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.07</span><span class="p">),</span>
         <span class="n">fancybox</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
         <span class="n">shadow</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
+        <span class="n">handlelength</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
     <span class="p">)</span>
     
+    
+    
     <span class="c1"># finalize</span>
     <span class="n">fig</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
     <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="n">name</span> <span class="o">+</span> <span class="s2">&quot;  &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">])))</span> <span class="o">+</span> <span class="s2">&quot;-&quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Ks&quot;</span><span class="p">]))))</span>
diff --git a/docs/_modules/TELF/factorization/utilities/pvalue_analysis.html b/docs/_modules/TELF/factorization/utilities/pvalue_analysis.html
index 13bfc41d..dee4c705 100644
--- a/docs/_modules/TELF/factorization/utilities/pvalue_analysis.html
+++ b/docs/_modules/TELF/factorization/utilities/pvalue_analysis.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.utilities.pvalue_analysis &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.utilities.pvalue_analysis &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
 <link rel="preload" as="script" href="../../../../_static/scripts/pydata-sphinx-theme.js?digest=365ca57ee442770a23c6" />
   <script src="../../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=365ca57ee442770a23c6"></script>
 
-    <script src="../../../../_static/documentation_options.js?v=2fb9ae3b"></script>
+    <script src="../../../../_static/documentation_options.js?v=38cd2e5d"></script>
     <script src="../../../../_static/doctools.js?v=888ff710"></script>
     <script src="../../../../_static/sphinx_highlight.js?v=dc90522c"></script>
     <script src="../../../../_static/scripts/sphinx-book-theme.js?digest=5a5c038af52cf7bc1a1ec88eea08e6366ee68824"></script>
@@ -124,7 +124,7 @@
   
   
   
-    <p class="title logo__title">TELF 0.0.11 documentation</p>
+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
 </a></div>
         <div class="sidebar-primary-item"><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
diff --git a/docs/_modules/TELF/factorization/utilities/sppmi_matrix.html b/docs/_modules/TELF/factorization/utilities/sppmi_matrix.html
index 405aa593..23bb9bf7 100644
--- a/docs/_modules/TELF/factorization/utilities/sppmi_matrix.html
+++ b/docs/_modules/TELF/factorization/utilities/sppmi_matrix.html
@@ -7,7 +7,7 @@
   <head>
     <meta charset="utf-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>TELF.factorization.utilities.sppmi_matrix &#8212; TELF 0.0.11 documentation</title>
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+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
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index c17bd624..3ae9729e 100644
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-    <title>TELF.factorization.utilities.take_note &#8212; TELF 0.0.11 documentation</title>
+    <title>TELF.factorization.utilities.take_note &#8212; TELF 0.0.12 documentation</title>
   
   
   
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diff --git a/docs/_modules/TELF/factorization/utilities/vectorize.html b/docs/_modules/TELF/factorization/utilities/vectorize.html
index 2fcc3303..fff59b20 100644
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+    <title>TELF.factorization.utilities.vectorize &#8212; TELF 0.0.12 documentation</title>
   
   
   
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+    <title>TELF.pre_processing.Beaver.cooccurrence &#8212; TELF 0.0.12 documentation</title>
   
   
   
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+    <title>TELF.pre_processing.Beaver.sppmi &#8212; TELF 0.0.12 documentation</title>
   
   
   
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+    <title>TELF.pre_processing.Beaver.tenmat &#8212; TELF 0.0.12 documentation</title>
   
   
   
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+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
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diff --git a/docs/_modules/TELF/pre_processing/Beaver/vectorize.html b/docs/_modules/TELF/pre_processing/Beaver/vectorize.html
index 63627cf0..826a0b3a 100644
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+    <title>TELF.pre_processing.Beaver.vectorize &#8212; TELF 0.0.12 documentation</title>
   
   
   
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diff --git a/docs/_modules/TELF/pre_processing/Vulture/tokens_analysis/top_words.html b/docs/_modules/TELF/pre_processing/Vulture/tokens_analysis/top_words.html
index 5cad1d70..cbdca042 100644
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+    <p class="title logo__title">TELF 0.0.12 documentation</p>
   
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+    <title>TELF.pre_processing.Vulture.vulture &#8212; TELF 0.0.12 documentation</title>
   
   
   
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diff --git a/docs/_modules/index.html b/docs/_modules/index.html
index 7f458531..c9581a0f 100644
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+    <title>Overview: module code &#8212; TELF 0.0.12 documentation</title>
   
   
   
@@ -36,7 +36,7 @@
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diff --git a/docs/_sources/index.rst b/docs/_sources/index.rst
index 2b0d3c6c..235b909f 100644
--- a/docs/_sources/index.rst
+++ b/docs/_sources/index.rst
@@ -104,7 +104,7 @@ How to Cite T-ELF?
 
 .. code-block:: console
 
-   Eren, M., Solovyev, N., Barron, R., Bhattarai, M., Truong, D., Boureima, I., Skau, E., Rasmussen, K., & Alexandrov, B. (2023). Tensor Extraction of Latent Features (T-ELF) (Version 0.0.11) [Computer software]. https://doi.org/10.5281/zenodo.10257897
+   Eren, M., Solovyev, N., Barron, R., Bhattarai, M., Truong, D., Boureima, I., Skau, E., Rasmussen, K., & Alexandrov, B. (2023). Tensor Extraction of Latent Features (T-ELF) (Version 0.0.12) [Computer software]. https://doi.org/10.5281/zenodo.10257897
 
 **BibTeX:**
 
diff --git a/docs/_static/documentation_options.js b/docs/_static/documentation_options.js
index 1278742f..82982510 100644
--- a/docs/_static/documentation_options.js
+++ b/docs/_static/documentation_options.js
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index 462940aa..8c82266e 100644
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@@ -7,7 +7,7 @@
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-    <title>Index &#8212; TELF 0.0.11 documentation</title>
+    <title>Index &#8212; TELF 0.0.12 documentation</title>
   
   
   
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-    <title>Tensor Extraction of Latent Features (T-ELF) &#8212; TELF 0.0.11 documentation</title>
+    <title>Tensor Extraction of Latent Features (T-ELF) &#8212; TELF 0.0.12 documentation</title>
   
   
   
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@@ -420,7 +420,7 @@ <h1>Capabilities<a class="headerlink" href="#capabilities" title="Link to this h
 <section id="how-to-cite-t-elf">
 <h1>How to Cite T-ELF?<a class="headerlink" href="#how-to-cite-t-elf" title="Link to this heading">#</a></h1>
 <p><strong>APA:</strong></p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">Eren, M., Solovyev, N., Barron, R., Bhattarai, M., Truong, D., Boureima, I., Skau, E., Rasmussen, K., &amp; Alexandrov, B. (2023). Tensor Extraction of Latent Features (T-ELF) (Version 0.0.11) [Computer software]. https://doi.org/10.5281/zenodo.10257897</span>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">Eren, M., Solovyev, N., Barron, R., Bhattarai, M., Truong, D., Boureima, I., Skau, E., Rasmussen, K., &amp; Alexandrov, B. (2023). Tensor Extraction of Latent Features (T-ELF) (Version 0.0.12) [Computer software]. https://doi.org/10.5281/zenodo.10257897</span>
 </pre></div>
 </div>
 <p><strong>BibTeX:</strong></p>
diff --git a/docs/modules.html b/docs/modules.html
index e19d57b5..b57e8b2b 100644
--- a/docs/modules.html
+++ b/docs/modules.html
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+++ b/docs/search.html
@@ -6,7 +6,7 @@
 
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module telf.applications.cheetah.cheetah)": [[1, "TELF.applications.Cheetah.cheetah.add_with_union_of_others"]], "columns (telf.applications.cheetah.cheetah.cheetah property)": [[1, "TELF.applications.Cheetah.cheetah.Cheetah.columns"]], "find_ngram() (telf.applications.cheetah.cheetah.cheetah class method)": [[1, "TELF.applications.Cheetah.cheetah.Cheetah.find_ngram"]], "index() (telf.applications.cheetah.cheetah.cheetah method)": [[1, "TELF.applications.Cheetah.cheetah.Cheetah.index"]], "ngram_ordered (telf.applications.cheetah.cheetah.cheetah property)": [[1, "TELF.applications.Cheetah.cheetah.Cheetah.ngram_ordered"]], "ngram_window_size (telf.applications.cheetah.cheetah.cheetah property)": [[1, "TELF.applications.Cheetah.cheetah.Cheetah.ngram_window_size"]], "query (telf.applications.cheetah.cheetah.cheetah property)": [[1, "TELF.applications.Cheetah.cheetah.Cheetah.query"]], "search() (telf.applications.cheetah.cheetah.cheetah method)": [[1, "TELF.applications.Cheetah.cheetah.Cheetah.search"]], "nmfk (class in telf.factorization.nmfk)": [[2, "TELF.factorization.NMFk.NMFk"], [6, "TELF.factorization.NMFk.NMFk"]], "telf.factorization.nmfk": [[2, "module-TELF.factorization.NMFk"], [6, "module-TELF.factorization.NMFk"]], "fit() (telf.factorization.nmfk.nmfk method)": [[2, "TELF.factorization.NMFk.NMFk.fit"], [6, "TELF.factorization.NMFk.NMFk.fit"]], "rescalk (class in telf.factorization.rescalk)": [[3, "TELF.factorization.RESCALk.RESCALk"], [6, "TELF.factorization.RESCALk.RESCALk"]], "telf.factorization.rescalk": [[3, "module-TELF.factorization.RESCALk"], [6, "module-TELF.factorization.RESCALk"]], "fit() (telf.factorization.rescalk.rescalk method)": [[3, "TELF.factorization.RESCALk.RESCALk.fit"], [6, "TELF.factorization.RESCALk.RESCALk.fit"]], "symnmfk (class in telf.factorization.symnmfk)": [[4, "TELF.factorization.SymNMFk.SymNMFk"]], "telf.factorization.symnmfk": [[4, "module-TELF.factorization.SymNMFk"]], "fit() (telf.factorization.symnmfk.symnmfk method)": [[4, "TELF.factorization.SymNMFk.SymNMFk.fit"]], "telf": [[5, "module-TELF"]], "telf.version": [[5, "module-TELF.version"]], "telf.factorization": [[6, "module-TELF.factorization"]], "telf.factorization.trinmfk": [[6, "module-TELF.factorization.TriNMFk"], [14, "module-TELF.factorization.TriNMFk"]], "trinmfk (class in telf.factorization.trinmfk)": [[6, "TELF.factorization.TriNMFk.TriNMFk"], [14, "TELF.factorization.TriNMFk.TriNMFk"]], "fit_nmfk() (telf.factorization.trinmfk.trinmfk method)": [[6, "TELF.factorization.TriNMFk.TriNMFk.fit_nmfk"], [14, "TELF.factorization.TriNMFk.TriNMFk.fit_nmfk"]], "fit_tri_nmfk() (telf.factorization.trinmfk.trinmfk method)": [[6, "TELF.factorization.TriNMFk.TriNMFk.fit_tri_nmfk"], [14, "TELF.factorization.TriNMFk.TriNMFk.fit_tri_nmfk"]], "a_update() (in module telf.factorization.decompositions.rescal_fro_mu)": [[7, "TELF.factorization.decompositions.rescal_fro_mu.A_update"]], "h_update() (in module telf.factorization.decompositions.nmf_fro_admm)": [[7, "TELF.factorization.decompositions.nmf_fro_admm.H_update"]], "h_update() (in module telf.factorization.decompositions.nmf_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_fro_mu.H_update"]], "h_update() (in module telf.factorization.decompositions.nmf_kl_admm)": [[7, "TELF.factorization.decompositions.nmf_kl_admm.H_update"]], "h_update() (in module telf.factorization.decompositions.nmf_kl_mu)": [[7, "TELF.factorization.decompositions.nmf_kl_mu.H_update"]], "h_update() (in module telf.factorization.decompositions.tri_nmf_fro_mu)": [[7, "TELF.factorization.decompositions.tri_nmf_fro_mu.H_update"]], "h_update_admm() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.H_update_ADMM"]], "h_update_mu() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.H_update_MU"]], "r_update() (in module telf.factorization.decompositions.rescal_fro_mu)": [[7, "TELF.factorization.decompositions.rescal_fro_mu.R_update"]], "s_update() (in module telf.factorization.decompositions.tri_nmf_fro_mu)": [[7, "TELF.factorization.decompositions.tri_nmf_fro_mu.S_update"]], "telf.factorization.decompositions": [[7, "module-TELF.factorization.decompositions"]], "telf.factorization.decompositions.nmf_fro_admm": [[7, "module-TELF.factorization.decompositions.nmf_fro_admm"]], "telf.factorization.decompositions.nmf_fro_mu": [[7, "module-TELF.factorization.decompositions.nmf_fro_mu"]], "telf.factorization.decompositions.nmf_kl_admm": [[7, "module-TELF.factorization.decompositions.nmf_kl_admm"]], "telf.factorization.decompositions.nmf_kl_mu": [[7, "module-TELF.factorization.decompositions.nmf_kl_mu"]], "telf.factorization.decompositions.nmf_mc_fro_mu": [[7, "module-TELF.factorization.decompositions.nmf_mc_fro_mu"]], "telf.factorization.decompositions.rescal_fro_mu": [[7, "module-TELF.factorization.decompositions.rescal_fro_mu"]], "telf.factorization.decompositions.tri_nmf_fro_mu": [[7, "module-TELF.factorization.decompositions.tri_nmf_fro_mu"]], "w_update() (in module telf.factorization.decompositions.nmf_fro_admm)": [[7, "TELF.factorization.decompositions.nmf_fro_admm.W_update"]], "w_update() (in module telf.factorization.decompositions.nmf_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_fro_mu.W_update"]], "w_update() (in module telf.factorization.decompositions.nmf_kl_admm)": [[7, "TELF.factorization.decompositions.nmf_kl_admm.W_update"]], "w_update() (in module telf.factorization.decompositions.nmf_kl_mu)": [[7, "TELF.factorization.decompositions.nmf_kl_mu.W_update"]], "w_update() (in module telf.factorization.decompositions.tri_nmf_fro_mu)": [[7, "TELF.factorization.decompositions.tri_nmf_fro_mu.W_update"]], "w_update_admm() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.W_update_ADMM"]], "w_update_mu() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.W_update_MU"]], "coord_desc_thresh() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.coord_desc_thresh"]], "coord_desc_thresh_onefactor() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.coord_desc_thresh_onefactor"]], "find_thres_wh() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.find_thres_WH"]], "nmf() (in module telf.factorization.decompositions.nmf_fro_admm)": [[7, "TELF.factorization.decompositions.nmf_fro_admm.nmf"]], "nmf() (in module telf.factorization.decompositions.nmf_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_fro_mu.nmf"]], "nmf() (in module telf.factorization.decompositions.nmf_kl_admm)": [[7, "TELF.factorization.decompositions.nmf_kl_admm.nmf"]], "nmf() (in module telf.factorization.decompositions.nmf_kl_mu)": [[7, "TELF.factorization.decompositions.nmf_kl_mu.nmf"]], "nmf() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.nmf"]], "nmf_with_admm() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.nmf_with_ADMM"]], "old_find_thres_wh() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.old_find_thres_WH"]], "old_nmf() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.old_nmf"]], "rescal() (in module telf.factorization.decompositions.rescal_fro_mu)": [[7, "TELF.factorization.decompositions.rescal_fro_mu.rescal"]], "roc_w_h() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.roc_W_H"]], "thres_norm() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.thres_norm"]], "trinmf() (in module telf.factorization.decompositions.tri_nmf_fro_mu)": [[7, "TELF.factorization.decompositions.tri_nmf_fro_mu.trinmf"]], "telf.factorization.decompositions.utilities": [[8, "module-TELF.factorization.decompositions.utilities"]], "telf.factorization.decompositions.utilities.bool_clustering": [[8, "module-TELF.factorization.decompositions.utilities.bool_clustering"]], "telf.factorization.decompositions.utilities.bool_noise": [[8, "module-TELF.factorization.decompositions.utilities.bool_noise"]], "telf.factorization.decompositions.utilities.clustering": [[8, "module-TELF.factorization.decompositions.utilities.clustering"]], "telf.factorization.decompositions.utilities.concensus_matrix": [[8, "module-TELF.factorization.decompositions.utilities.concensus_matrix"]], "telf.factorization.decompositions.utilities.data_reshaping": [[8, "module-TELF.factorization.decompositions.utilities.data_reshaping"]], "telf.factorization.decompositions.utilities.generic_utils": [[8, "module-TELF.factorization.decompositions.utilities.generic_utils"]], "telf.factorization.decompositions.utilities.math_utils": [[8, "module-TELF.factorization.decompositions.utilities.math_utils"]], "telf.factorization.decompositions.utilities.nnsvd": [[8, "module-TELF.factorization.decompositions.utilities.nnsvd"]], "telf.factorization.decompositions.utilities.resample": [[8, "module-TELF.factorization.decompositions.utilities.resample"]], "telf.factorization.decompositions.utilities.silhouettes": [[8, "module-TELF.factorization.decompositions.utilities.silhouettes"]], "add_bool_noise() (in module telf.factorization.decompositions.utilities.bool_noise)": [[8, "TELF.factorization.decompositions.utilities.bool_noise.add_Bool_noise"]], "add_bool_posneg_noise() (in module telf.factorization.decompositions.utilities.bool_noise)": [[8, "TELF.factorization.decompositions.utilities.bool_noise.add_Bool_posneg_noise"]], "bary_coords() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.bary_coords"]], "bary_proj() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.bary_proj"]], "compute_connectivity_mat() (in module telf.factorization.decompositions.utilities.concensus_matrix)": [[8, "TELF.factorization.decompositions.utilities.concensus_matrix.compute_connectivity_mat"]], "compute_consensus_matrix() (in module telf.factorization.decompositions.utilities.concensus_matrix)": [[8, "TELF.factorization.decompositions.utilities.concensus_matrix.compute_consensus_matrix"]], "custom_bool_clustering() (in module telf.factorization.decompositions.utilities.bool_clustering)": [[8, "TELF.factorization.decompositions.utilities.bool_clustering.custom_bool_clustering"]], "custom_k_means() (in module telf.factorization.decompositions.utilities.clustering)": [[8, "TELF.factorization.decompositions.utilities.clustering.custom_k_means"]], "custom_silhouettes() (in module telf.factorization.decompositions.utilities.silhouettes)": [[8, "TELF.factorization.decompositions.utilities.silhouettes.custom_silhouettes"]], "fold() (in module telf.factorization.decompositions.utilities.data_reshaping)": [[8, "TELF.factorization.decompositions.utilities.data_reshaping.fold"]], "fro_norm() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.fro_norm"]], "get_cupyx() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.get_cupyx"]], "get_np() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.get_np"]], "get_pac() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.get_pac"]], "get_scipy() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.get_scipy"]], "grid_eval() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.grid_eval"]], "kl_divergence() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.kl_divergence"]], "masked_nmf() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.masked_nmf"]], "move_axis() (in module telf.factorization.decompositions.utilities.data_reshaping)": [[8, "TELF.factorization.decompositions.utilities.data_reshaping.move_axis"]], "nan_to_num() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.nan_to_num"]], "nnsvd() (in module telf.factorization.decompositions.utilities.nnsvd)": [[8, "TELF.factorization.decompositions.utilities.nnsvd.nnsvd"]], "norm_x() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.norm_X"]], "nz_indices() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.nz_indices"]], "poisson() (in module telf.factorization.decompositions.utilities.resample)": [[8, "TELF.factorization.decompositions.utilities.resample.poisson"]], "prune() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.prune"]], "relative_error() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.relative_error"]], "relative_error_rescal() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.relative_error_rescal"]], "relative_trinmf_error() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.relative_trinmf_error"]], "reorder_con_mat() (in module telf.factorization.decompositions.utilities.concensus_matrix)": [[8, "TELF.factorization.decompositions.utilities.concensus_matrix.reorder_con_mat"]], "silhouettes() (in module telf.factorization.decompositions.utilities.clustering)": [[8, "TELF.factorization.decompositions.utilities.clustering.silhouettes"]], "sparse_divide_product() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.sparse_divide_product"]], "sparse_dot_product() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.sparse_dot_product"]], "unfold() (in module telf.factorization.decompositions.utilities.data_reshaping)": [[8, "TELF.factorization.decompositions.utilities.data_reshaping.unfold"]], "uniform_product() (in module telf.factorization.decompositions.utilities.resample)": [[8, "TELF.factorization.decompositions.utilities.resample.uniform_product"]], "unprune() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.unprune"]], "update_opts() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.update_opts"]], "h_clustering() (in module telf.factorization.utilities.clustering)": [[9, "TELF.factorization.utilities.clustering.H_clustering"]], "telf.factorization.utilities": [[9, "module-TELF.factorization.utilities"]], "telf.factorization.utilities.clustering": [[9, "module-TELF.factorization.utilities.clustering"]], "telf.factorization.utilities.co_occurance_matrix": [[9, "module-TELF.factorization.utilities.co_occurance_matrix"]], "telf.factorization.utilities.organize_n_jobs": [[9, "module-TELF.factorization.utilities.organize_n_jobs"]], "telf.factorization.utilities.plot_nmfk": [[9, "module-TELF.factorization.utilities.plot_NMFk"]], "telf.factorization.utilities.pvalue_analysis": [[9, "module-TELF.factorization.utilities.pvalue_analysis"]], "telf.factorization.utilities.sppmi_matrix": [[9, "module-TELF.factorization.utilities.sppmi_matrix"]], "telf.factorization.utilities.take_note": [[9, "module-TELF.factorization.utilities.take_note"]], "telf.factorization.utilities.vectorize": [[9, "module-TELF.factorization.utilities.vectorize"]], "append_to_note() (in module telf.factorization.utilities.take_note)": [[9, "TELF.factorization.utilities.take_note.append_to_note"]], "co_occurrence() (in module telf.factorization.utilities.co_occurance_matrix)": [[9, "TELF.factorization.utilities.co_occurance_matrix.co_occurrence"]], "count() (in module telf.factorization.utilities.vectorize)": [[9, "TELF.factorization.utilities.vectorize.count"]], "format_note() (in module telf.factorization.utilities.take_note)": [[9, "TELF.factorization.utilities.take_note.format_note"]], "organize_n_jobs() (in module telf.factorization.utilities.organize_n_jobs)": [[9, "TELF.factorization.utilities.organize_n_jobs.organize_n_jobs"]], "plot_bnmfk() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_BNMFk"]], "plot_h_clustering() (in module telf.factorization.utilities.clustering)": [[9, "TELF.factorization.utilities.clustering.plot_H_clustering"]], "plot_nmfk() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_NMFk"]], "plot_symnmfk() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_SymNMFk"]], "plot_consensus_mat() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_consensus_mat"]], "plot_cophenetic_coeff() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_cophenetic_coeff"]], "pvalue_analysis() (in module telf.factorization.utilities.pvalue_analysis)": [[9, "TELF.factorization.utilities.pvalue_analysis.pvalue_analysis"]], "sppmi() (in module telf.factorization.utilities.sppmi_matrix)": [[9, "TELF.factorization.utilities.sppmi_matrix.sppmi"]], "take_note() (in module telf.factorization.utilities.take_note)": [[9, "TELF.factorization.utilities.take_note.take_note"]], "take_note_fmat() (in module telf.factorization.utilities.take_note)": [[9, "TELF.factorization.utilities.take_note.take_note_fmat"]], "tfidf() (in module telf.factorization.utilities.vectorize)": [[9, "TELF.factorization.utilities.vectorize.tfidf"]], "telf.pre_processing": [[10, "module-TELF.pre_processing"]], "telf.pre_processing.beaver": [[11, "module-TELF.pre_processing.Beaver"]], "telf.pre_processing.beaver.cooccurrence": [[11, "module-TELF.pre_processing.Beaver.cooccurrence"]], "telf.pre_processing.beaver.sppmi": [[11, "module-TELF.pre_processing.Beaver.sppmi"]], "telf.pre_processing.beaver.tenmat": [[11, "module-TELF.pre_processing.Beaver.tenmat"]], "telf.pre_processing.beaver.vectorize": [[11, "module-TELF.pre_processing.Beaver.vectorize"]], "co_occurrence() (in module telf.pre_processing.beaver.cooccurrence)": [[11, "TELF.pre_processing.Beaver.cooccurrence.co_occurrence"]], "count() (in module 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\ No newline at end of file
+Search.setIndex({"docnames": ["Beaver", "Cheetah", "NMFk", "RESCALk", "SymNMFk", "TELF", "TELF.factorization", "TELF.factorization.decompositions", "TELF.factorization.decompositions.utilities", "TELF.factorization.utilities", "TELF.pre_processing", "TELF.pre_processing.Beaver", "TELF.pre_processing.Vulture", "TELF.pre_processing.Vulture.tokens_analysis", "TriNMFk", "Vulture", "index", "modules"], "filenames": ["Beaver.rst", "Cheetah.rst", "NMFk.rst", "RESCALk.rst", "SymNMFk.rst", "TELF.rst", "TELF.factorization.rst", "TELF.factorization.decompositions.rst", "TELF.factorization.decompositions.utilities.rst", "TELF.factorization.utilities.rst", "TELF.pre_processing.rst", "TELF.pre_processing.Beaver.rst", "TELF.pre_processing.Vulture.rst", "TELF.pre_processing.Vulture.tokens_analysis.rst", "TriNMFk.rst", "Vulture.rst", "index.rst", "modules.rst"], "titles": ["<strong>TELF.pre_processing.Beaver:</strong> Fast matrix and tensor building tool", "<strong>TELF.applications.Cheetah:</strong> Advanced search by keywords and phrases", "<strong>TELF.factorization.NMFk:</strong> Non-negative Matrix Factorization with Automatic Model Determination", "<strong>TELF.factorization.RESCALk:</strong> RESCAL with Automatic Model Determination", "<strong>TELF.factorization.SymNMFk:</strong> Symmetric Non-negative Matrix Factorization with Automatic Model Determination", "TELF package", "TELF.factorization package", "TELF.factorization.decompositions package", "TELF.factorization.decompositions.utilities package", "TELF.factorization.utilities package", "TELF.pre_processing package", "TELF.pre_processing.Beaver package", "TELF.pre_processing.Vulture package", "TELF.pre_processing.Vulture.tokens_analysis package", "<strong>TELF.factorization.TriNMFk:</strong> NMFk with Automatic Determination of Latent Clusters and Patterns", "<strong>TELF.pre_processing.Vulture:</strong> Advanced text pre-processing and cleaning tool for NLP and text-mining", "Tensor Extraction of Latent Features 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telf.factorization.decompositions.rescal_fro_mu)": [[7, "TELF.factorization.decompositions.rescal_fro_mu.A_update"]], "h_update() (in module telf.factorization.decompositions.nmf_fro_admm)": [[7, "TELF.factorization.decompositions.nmf_fro_admm.H_update"]], "h_update() (in module telf.factorization.decompositions.nmf_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_fro_mu.H_update"]], "h_update() (in module telf.factorization.decompositions.nmf_kl_admm)": [[7, "TELF.factorization.decompositions.nmf_kl_admm.H_update"]], "h_update() (in module telf.factorization.decompositions.nmf_kl_mu)": [[7, "TELF.factorization.decompositions.nmf_kl_mu.H_update"]], "h_update() (in module telf.factorization.decompositions.tri_nmf_fro_mu)": [[7, "TELF.factorization.decompositions.tri_nmf_fro_mu.H_update"]], "h_update_admm() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.H_update_ADMM"]], "h_update_mu() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.H_update_MU"]], "r_update() (in module telf.factorization.decompositions.rescal_fro_mu)": [[7, "TELF.factorization.decompositions.rescal_fro_mu.R_update"]], "s_update() (in module telf.factorization.decompositions.tri_nmf_fro_mu)": [[7, "TELF.factorization.decompositions.tri_nmf_fro_mu.S_update"]], "telf.factorization.decompositions": [[7, "module-TELF.factorization.decompositions"]], "telf.factorization.decompositions.nmf_fro_admm": [[7, "module-TELF.factorization.decompositions.nmf_fro_admm"]], "telf.factorization.decompositions.nmf_fro_mu": [[7, "module-TELF.factorization.decompositions.nmf_fro_mu"]], "telf.factorization.decompositions.nmf_kl_admm": [[7, "module-TELF.factorization.decompositions.nmf_kl_admm"]], "telf.factorization.decompositions.nmf_kl_mu": [[7, "module-TELF.factorization.decompositions.nmf_kl_mu"]], "telf.factorization.decompositions.nmf_mc_fro_mu": [[7, "module-TELF.factorization.decompositions.nmf_mc_fro_mu"]], "telf.factorization.decompositions.rescal_fro_mu": [[7, "module-TELF.factorization.decompositions.rescal_fro_mu"]], "telf.factorization.decompositions.tri_nmf_fro_mu": [[7, "module-TELF.factorization.decompositions.tri_nmf_fro_mu"]], "w_update() (in module telf.factorization.decompositions.nmf_fro_admm)": [[7, "TELF.factorization.decompositions.nmf_fro_admm.W_update"]], "w_update() (in module telf.factorization.decompositions.nmf_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_fro_mu.W_update"]], "w_update() (in module telf.factorization.decompositions.nmf_kl_admm)": [[7, "TELF.factorization.decompositions.nmf_kl_admm.W_update"]], "w_update() (in module telf.factorization.decompositions.nmf_kl_mu)": [[7, "TELF.factorization.decompositions.nmf_kl_mu.W_update"]], "w_update() (in module telf.factorization.decompositions.tri_nmf_fro_mu)": [[7, "TELF.factorization.decompositions.tri_nmf_fro_mu.W_update"]], "w_update_admm() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.W_update_ADMM"]], "w_update_mu() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.W_update_MU"]], "coord_desc_thresh() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.coord_desc_thresh"]], "coord_desc_thresh_onefactor() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.coord_desc_thresh_onefactor"]], "find_thres_wh() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.find_thres_WH"]], "nmf() (in module telf.factorization.decompositions.nmf_fro_admm)": [[7, "TELF.factorization.decompositions.nmf_fro_admm.nmf"]], "nmf() (in module telf.factorization.decompositions.nmf_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_fro_mu.nmf"]], "nmf() (in module telf.factorization.decompositions.nmf_kl_admm)": [[7, "TELF.factorization.decompositions.nmf_kl_admm.nmf"]], "nmf() (in module telf.factorization.decompositions.nmf_kl_mu)": [[7, "TELF.factorization.decompositions.nmf_kl_mu.nmf"]], "nmf() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.nmf"]], "nmf_with_admm() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.nmf_with_ADMM"]], "old_find_thres_wh() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.old_find_thres_WH"]], "old_nmf() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.old_nmf"]], "rescal() (in module telf.factorization.decompositions.rescal_fro_mu)": [[7, "TELF.factorization.decompositions.rescal_fro_mu.rescal"]], "roc_w_h() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.roc_W_H"]], "thres_norm() (in module telf.factorization.decompositions.nmf_mc_fro_mu)": [[7, "TELF.factorization.decompositions.nmf_mc_fro_mu.thres_norm"]], "trinmf() (in module telf.factorization.decompositions.tri_nmf_fro_mu)": [[7, "TELF.factorization.decompositions.tri_nmf_fro_mu.trinmf"]], "telf.factorization.decompositions.utilities": [[8, "module-TELF.factorization.decompositions.utilities"]], "telf.factorization.decompositions.utilities.bool_clustering": [[8, "module-TELF.factorization.decompositions.utilities.bool_clustering"]], "telf.factorization.decompositions.utilities.bool_noise": [[8, "module-TELF.factorization.decompositions.utilities.bool_noise"]], "telf.factorization.decompositions.utilities.clustering": [[8, "module-TELF.factorization.decompositions.utilities.clustering"]], "telf.factorization.decompositions.utilities.concensus_matrix": [[8, "module-TELF.factorization.decompositions.utilities.concensus_matrix"]], "telf.factorization.decompositions.utilities.data_reshaping": [[8, "module-TELF.factorization.decompositions.utilities.data_reshaping"]], "telf.factorization.decompositions.utilities.generic_utils": [[8, "module-TELF.factorization.decompositions.utilities.generic_utils"]], "telf.factorization.decompositions.utilities.math_utils": [[8, "module-TELF.factorization.decompositions.utilities.math_utils"]], "telf.factorization.decompositions.utilities.nnsvd": [[8, "module-TELF.factorization.decompositions.utilities.nnsvd"]], "telf.factorization.decompositions.utilities.resample": [[8, "module-TELF.factorization.decompositions.utilities.resample"]], "telf.factorization.decompositions.utilities.silhouettes": [[8, "module-TELF.factorization.decompositions.utilities.silhouettes"]], "add_bool_noise() (in module telf.factorization.decompositions.utilities.bool_noise)": [[8, "TELF.factorization.decompositions.utilities.bool_noise.add_Bool_noise"]], "add_bool_posneg_noise() (in module telf.factorization.decompositions.utilities.bool_noise)": [[8, "TELF.factorization.decompositions.utilities.bool_noise.add_Bool_posneg_noise"]], "bary_coords() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.bary_coords"]], "bary_proj() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.bary_proj"]], "compute_connectivity_mat() (in module telf.factorization.decompositions.utilities.concensus_matrix)": [[8, "TELF.factorization.decompositions.utilities.concensus_matrix.compute_connectivity_mat"]], "compute_consensus_matrix() (in module telf.factorization.decompositions.utilities.concensus_matrix)": [[8, "TELF.factorization.decompositions.utilities.concensus_matrix.compute_consensus_matrix"]], "custom_bool_clustering() (in module telf.factorization.decompositions.utilities.bool_clustering)": [[8, "TELF.factorization.decompositions.utilities.bool_clustering.custom_bool_clustering"]], "custom_k_means() (in module telf.factorization.decompositions.utilities.clustering)": [[8, "TELF.factorization.decompositions.utilities.clustering.custom_k_means"]], "custom_silhouettes() (in module telf.factorization.decompositions.utilities.silhouettes)": [[8, "TELF.factorization.decompositions.utilities.silhouettes.custom_silhouettes"]], "fold() (in module telf.factorization.decompositions.utilities.data_reshaping)": [[8, "TELF.factorization.decompositions.utilities.data_reshaping.fold"]], "fro_norm() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.fro_norm"]], "get_cupyx() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.get_cupyx"]], "get_np() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.get_np"]], "get_pac() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.get_pac"]], "get_scipy() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.get_scipy"]], "grid_eval() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.grid_eval"]], "kl_divergence() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.kl_divergence"]], "masked_nmf() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.masked_nmf"]], "move_axis() (in module telf.factorization.decompositions.utilities.data_reshaping)": [[8, "TELF.factorization.decompositions.utilities.data_reshaping.move_axis"]], "nan_to_num() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.nan_to_num"]], "nnsvd() (in module telf.factorization.decompositions.utilities.nnsvd)": [[8, "TELF.factorization.decompositions.utilities.nnsvd.nnsvd"]], "norm_x() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.norm_X"]], "nz_indices() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.nz_indices"]], "poisson() (in module telf.factorization.decompositions.utilities.resample)": [[8, "TELF.factorization.decompositions.utilities.resample.poisson"]], "prune() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.prune"]], "relative_error() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.relative_error"]], "relative_error_rescal() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.relative_error_rescal"]], "relative_trinmf_error() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.relative_trinmf_error"]], "reorder_con_mat() (in module telf.factorization.decompositions.utilities.concensus_matrix)": [[8, "TELF.factorization.decompositions.utilities.concensus_matrix.reorder_con_mat"]], "silhouettes() (in module telf.factorization.decompositions.utilities.clustering)": [[8, "TELF.factorization.decompositions.utilities.clustering.silhouettes"]], "sparse_divide_product() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.sparse_divide_product"]], "sparse_dot_product() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.sparse_dot_product"]], "unfold() (in module telf.factorization.decompositions.utilities.data_reshaping)": [[8, "TELF.factorization.decompositions.utilities.data_reshaping.unfold"]], "uniform_product() (in module telf.factorization.decompositions.utilities.resample)": [[8, "TELF.factorization.decompositions.utilities.resample.uniform_product"]], "unprune() (in module telf.factorization.decompositions.utilities.math_utils)": [[8, "TELF.factorization.decompositions.utilities.math_utils.unprune"]], "update_opts() (in module telf.factorization.decompositions.utilities.generic_utils)": [[8, "TELF.factorization.decompositions.utilities.generic_utils.update_opts"]], "h_clustering() (in module telf.factorization.utilities.clustering)": [[9, "TELF.factorization.utilities.clustering.H_clustering"]], "telf.factorization.utilities": [[9, "module-TELF.factorization.utilities"]], "telf.factorization.utilities.clustering": [[9, "module-TELF.factorization.utilities.clustering"]], "telf.factorization.utilities.co_occurance_matrix": [[9, "module-TELF.factorization.utilities.co_occurance_matrix"]], "telf.factorization.utilities.organize_n_jobs": [[9, "module-TELF.factorization.utilities.organize_n_jobs"]], "telf.factorization.utilities.plot_nmfk": [[9, "module-TELF.factorization.utilities.plot_NMFk"]], "telf.factorization.utilities.pvalue_analysis": [[9, "module-TELF.factorization.utilities.pvalue_analysis"]], "telf.factorization.utilities.sppmi_matrix": [[9, "module-TELF.factorization.utilities.sppmi_matrix"]], "telf.factorization.utilities.take_note": [[9, "module-TELF.factorization.utilities.take_note"]], "telf.factorization.utilities.vectorize": [[9, "module-TELF.factorization.utilities.vectorize"]], "append_to_note() (in module telf.factorization.utilities.take_note)": [[9, "TELF.factorization.utilities.take_note.append_to_note"]], "co_occurrence() (in module telf.factorization.utilities.co_occurance_matrix)": [[9, "TELF.factorization.utilities.co_occurance_matrix.co_occurrence"]], "count() (in module telf.factorization.utilities.vectorize)": [[9, "TELF.factorization.utilities.vectorize.count"]], "format_note() (in module telf.factorization.utilities.take_note)": [[9, "TELF.factorization.utilities.take_note.format_note"]], "organize_n_jobs() (in module telf.factorization.utilities.organize_n_jobs)": [[9, "TELF.factorization.utilities.organize_n_jobs.organize_n_jobs"]], "plot_bnmfk() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_BNMFk"]], "plot_h_clustering() (in module telf.factorization.utilities.clustering)": [[9, "TELF.factorization.utilities.clustering.plot_H_clustering"]], "plot_nmfk() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_NMFk"]], "plot_symnmfk() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_SymNMFk"]], "plot_consensus_mat() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_consensus_mat"]], "plot_cophenetic_coeff() (in module telf.factorization.utilities.plot_nmfk)": [[9, "TELF.factorization.utilities.plot_NMFk.plot_cophenetic_coeff"]], "pvalue_analysis() (in module telf.factorization.utilities.pvalue_analysis)": [[9, "TELF.factorization.utilities.pvalue_analysis.pvalue_analysis"]], "sppmi() (in module telf.factorization.utilities.sppmi_matrix)": [[9, "TELF.factorization.utilities.sppmi_matrix.sppmi"]], "take_note() (in module telf.factorization.utilities.take_note)": [[9, "TELF.factorization.utilities.take_note.take_note"]], "take_note_fmat() (in module telf.factorization.utilities.take_note)": [[9, "TELF.factorization.utilities.take_note.take_note_fmat"]], "tfidf() (in module telf.factorization.utilities.vectorize)": [[9, "TELF.factorization.utilities.vectorize.tfidf"]], "telf.pre_processing": [[10, "module-TELF.pre_processing"]], "telf.pre_processing.beaver": [[11, "module-TELF.pre_processing.Beaver"]], "telf.pre_processing.beaver.cooccurrence": [[11, "module-TELF.pre_processing.Beaver.cooccurrence"]], "telf.pre_processing.beaver.sppmi": [[11, "module-TELF.pre_processing.Beaver.sppmi"]], "telf.pre_processing.beaver.tenmat": [[11, "module-TELF.pre_processing.Beaver.tenmat"]], "telf.pre_processing.beaver.vectorize": [[11, "module-TELF.pre_processing.Beaver.vectorize"]], "co_occurrence() (in module telf.pre_processing.beaver.cooccurrence)": [[11, "TELF.pre_processing.Beaver.cooccurrence.co_occurrence"]], "count() (in module telf.pre_processing.beaver.vectorize)": [[11, "TELF.pre_processing.Beaver.vectorize.count"]], "fold() (in module telf.pre_processing.beaver.tenmat)": [[11, "TELF.pre_processing.Beaver.tenmat.fold"]], "sppmi() (in module telf.pre_processing.beaver.sppmi)": [[11, "TELF.pre_processing.Beaver.sppmi.sppmi"]], "tfidf() (in module telf.pre_processing.beaver.vectorize)": [[11, "TELF.pre_processing.Beaver.vectorize.tfidf"]], "unfold() (in module telf.pre_processing.beaver.tenmat)": [[11, "TELF.pre_processing.Beaver.tenmat.unfold"]], "default_operator_pipeline (telf.pre_processing.vulture.vulture.vulture attribute)": [[12, "TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_OPERATOR_PIPELINE"], [15, "TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_OPERATOR_PIPELINE"]], "default_pipeline (telf.pre_processing.vulture.vulture.vulture attribute)": [[12, "TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_PIPELINE"], [15, "TELF.pre_processing.Vulture.vulture.Vulture.DEFAULT_PIPELINE"]], "parallel_backend_options (telf.pre_processing.vulture.vulture.vulture attribute)": [[12, "TELF.pre_processing.Vulture.vulture.Vulture.PARALLEL_BACKEND_OPTIONS"], [15, "TELF.pre_processing.Vulture.vulture.Vulture.PARALLEL_BACKEND_OPTIONS"]], "telf.pre_processing.vulture": [[12, "module-TELF.pre_processing.Vulture"]], "telf.pre_processing.vulture.modules": [[12, "module-TELF.pre_processing.Vulture.modules"]], "telf.pre_processing.vulture.vulture": [[12, "module-TELF.pre_processing.Vulture.vulture"], [15, "module-TELF.pre_processing.Vulture.vulture"]], "vulture (class in telf.pre_processing.vulture.vulture)": [[12, "TELF.pre_processing.Vulture.vulture.Vulture"], [15, "TELF.pre_processing.Vulture.vulture.Vulture"]], "cache (telf.pre_processing.vulture.vulture.vulture property)": [[12, "TELF.pre_processing.Vulture.vulture.Vulture.cache"], [15, "TELF.pre_processing.Vulture.vulture.Vulture.cache"]], "chunk_tuple_list() (in module telf.pre_processing.vulture.vulture)": [[12, "TELF.pre_processing.Vulture.vulture.chunk_tuple_list"], [15, "TELF.pre_processing.Vulture.vulture.chunk_tuple_list"]], "clean() (telf.pre_processing.vulture.vulture.vulture method)": [[12, "TELF.pre_processing.Vulture.vulture.Vulture.clean"], [15, "TELF.pre_processing.Vulture.vulture.Vulture.clean"]], "clean_dataframe() (telf.pre_processing.vulture.vulture.vulture method)": [[12, "TELF.pre_processing.Vulture.vulture.Vulture.clean_dataframe"], [15, "TELF.pre_processing.Vulture.vulture.Vulture.clean_dataframe"]], "n_jobs (telf.pre_processing.vulture.vulture.vulture property)": [[12, "TELF.pre_processing.Vulture.vulture.Vulture.n_jobs"], [15, "TELF.pre_processing.Vulture.vulture.Vulture.n_jobs"]], "n_nodes (telf.pre_processing.vulture.vulture.vulture property)": [[12, "TELF.pre_processing.Vulture.vulture.Vulture.n_nodes"], [15, 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\ No newline at end of file