Currently, we iterate over each graduation year, but for each iteration, we load a window of data +/- 5 years into memory. If we compute the similarity for a 2 or more neighboring graduation years, we only have to add data for two additional years. This could speed up the calculations. The trade-off is that this needs more memory.
Currently, we iterate over each graduation year, but for each iteration, we load a window of data +/- 5 years into memory. If we compute the similarity for a 2 or more neighboring graduation years, we only have to add data for two additional years. This could speed up the calculations. The trade-off is that this needs more memory.