where you make the nearest neighbors closer to each other while still keeping the entropy high okay and then in the last after you've done this you go through when you say while the length of Y increases what's why why is all the data points that are above a certain threshold now you going to filter the data set that is above a certain threshold and that's your data set Y and you Terrain this same neural network you basically fine-tune it with the cross entropy loss on your own labels so now you only have labels Y