2 papers
cs.LG2026
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 l…
cs.LG2025
Shapley-Inspired Feature Weighting in -means with No Additional Hyperparameters
Richard J. Fawley, Renato Cordeiro de Amorim
Clustering algorithms often assume all features contribute equally to the data structure, an assumption that usually fails in high-dimensional or noisy settings. Feature weighting…