Silhouette: Proximity Measure Based Diagnostics for Standard, Soft, and Multi-Way Clustering
Shrikrishna Bhat Kapu, Kiruthika C · 2025
Quantifies clustering quality by measuring both cohesion within clusters and separation between clusters. Implements advanced silhouette width computations for diverse clustering structures, including: simplified silhouette (Van der Laan et al., 2003) , Probability of Alternative Cluster normalization methods (Raymaekers & Rousseeuw, 2022) , fuzzy clustering and silhouette diagnostics using membership probabilities (Campello & Hruschka, 2006; Bhat & Kiruthika, 2024) , , and multi-way clustering extensions such as block and tensor clustering (Schepers et al., 2008; Bhat & Kiruthika, 2025) , . Provides tools for computation and visualization (Rousseeuw, 1987) to support robust and reproducible cluster diagnostics across standard, soft, and multi-way clustering settings.