that gives us this kind of clustering of the data and then if that clustering partitions the data in the same way as the actual labeling would the actual labeling with the test labels then we think it's a good algorithm okay so they claim they have a okay in this paper we deviate from recent works and advocate a two-step approach and it's actually a three step approach but we're feature learning and clustering are decoupled okay why why is that so they argue what you could do what people have done is and I'm going