various things such as how many clusters do you need or how many nearest neighbors sorry do you need this number K here and you can see that if you have zero neighbors then you're doing a lot worse than if you have let's say five nearest neighbors so the jump here as you can see is fairly high in all the data sets but after that it sort of doesn't really matter much so it seems like five nearest neighbors should be enough for most things and here they just show that when they remove the false positives that their algorithm