2 papers
stat.ML2026
Cluster LOCO: Feature Importance For Interpreting Clusters
Claire M. He, Genevera I. Allen
Clustering is widely used for exploratory analysis and scientific discovery, driving insights from market segmentation to biological data analysis, but its outputs can be difficult…
stat.ME2026
Inference for Clustering: Conformal Sets for Cluster Labels
YoonHaeng Hur, Anirban Nath, Genevera Allen
While clustering is ubiquitously used across science and industry, uncertainty in cluster assignments is rarely quantified with rigorous guarantees. We propose a novel conformal in…