2026
CHB: A Diagnostic Toolkit for Hardness-Aware Clustering Evaluation
ICML 2026poster
Clustering is commonly compared through leaderboards that collapse performance into a single aggregate ranking. Such summaries obscure why methods succeed, which data properties align with failure, and how conclusions shift under representation changes and realistic tuning constraints. We present CH…