actually converges to the correct clustering the correct accuracy which is not surprising like if you remove the wrong samples that are wrong then the rest of the samples are going to be right I think that's just showing that it doesn't go into some kind of crazy downward spiral loop or something like this but still it's just kind of funny okay so they do you investigate how much they improve and they improve by quite a lot above the kind of previous methods so they have a lot of previous methods but a manner