finding better representation and then clustering these representations and what it basically says is that the CNN itself is such a is like a prior because it's the translation invariant works very good for very well for natural images the CNN itself will lead to good representations if we do it in this way and there's some good results there but this paper argues that if you do that then the the algorithm tends to focus a lot on very low-level features so if the pixel on the bottom right here is blue right then you can and the neural