2026
Scalable Bayesian Semi-supervised Clustering with Feature Selection and Adaptive Constraint Weighting
ICML 2026poster
Constrained clustering incorporates prior knowledge in the form of pairwise constraints to guide data partitioning. While effective, existing Bayesian approaches are often limited in scalability to large datasets and provide weak interpretability due to the lack of explicit feature relevance modelin…