cluster to the point that I have each image in its own cluster and I run this algorithm to evaluate my clustering I give it basically the most beneficial view then I would get a hundred percent accuracy okay so like in in in one of the in this over cluster approach I would sort of expect that you actually get a better score because you can like there is more generosity of the matching algorithm involved now that's counteracted by the fact that you can't group together things that obviously have similar features because they are