of you I'm sure know so I think like PCA so PCA you make sure the whole space is not reconstructed because the representation is constrained to be a low dimensional k-means just make sure model square is here etcetera these are the ones I'm going to talk about because that's where my money is right now so I think like sparse coding sparse or two encoders which some of you of course I've heard of and then the other ones I'm not gonna mention okay so how does it work in the context of PCA k-means so in PCA the the the region of the space