Density-peak clustering (Advanced Density Peak)

Identifies cluster centers as points that are both high-density and far from any other higher-density point, then assigns every other point to the nearest higher-density neighbor's cluster — a nonparametric way to count how many distinct semantic modes a representation manifold organizes into, and how sharply separated they are, without pre-specifying a cluster count.