4 papers
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…
Weighted Conformal Clustering
Anirban Nath, YoonHaeng Hur, Genevera I. Allen
Clustering is a central tool for discovering latent structure in unlabeled data; yet modern clustering pipelines often end with a hard assignment of each observation to a cluster w…
Cluster Analysis with Resampling for Validation and Exploration (CARVE)
Kai R. Wycik, Tiffany M. Tang, Tarek M. Zikry +1
Clustering is widely used across the sciences as the foundation for downstream data-driven scientific discoveries. However, clustering results are highly sensitive to the choice of…
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…