arxivcs.LG2026-07-16
Counterfactuals for Feature-Weighted Clustering
Richard J. Fawley, Renato Cordeiro de Amorim
Counterfactual explanations provide local, interpretable insight by identifying changes to an input that would alter its assigned outcome. Although well established in supervised learning, their extension to clustering is less direct, since cluster assignments are unlabeled and g…