the last classification head of a neural network is just a linear classifier so the assumption is that and the conclusion is well in this space you should be able to cluster by Euclidian distance so what deep cluster does alternate like is first get the representations you start off with a random neural network then cluster these representations then basically label self label the images in a way now Oh way oversimplifying that technique right here but you have these alternative steps of clustering and then kind of