Nearest Class-Mean (NCC) clustering accuracy

Classifies each activation by which class-mean centroid it is closest to (no trained classifier), giving a parameter-free measure of how tightly representations already cluster by a given label — applied at both the individual-sample level and the semantic-class level to separate augmentation-invariance clustering from genuine semantic clustering.