Silhouette (version 0.9.6)

Silhouette-package: Silhouette: Proximity Measure Based Diagnostics for Standard, Soft, and Multi-Way Clustering

Description

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) tools:::Rd_expr_doi("10.1080/0094965031000136012"), Probability of Alternative Cluster normalization methods (Raymaekers & Rousseeuw, 2022) tools:::Rd_expr_doi("10.1080/10618600.2022.2050249"), fuzzy clustering and silhouette diagnostics using membership probabilities (Campello & Hruschka, 2006; Menardi, 2011; Bhat & Kiruthika, 2024) tools:::Rd_expr_doi("10.1016/j.fss.2006.07.006"), tools:::Rd_expr_doi("10.1007/s11222-010-9169-0"), tools:::Rd_expr_doi("10.1080/23737484.2024.2408534"), and multi-way clustering extensions such as block and tensor clustering (Schepers et al., 2008; Bhat & Kiruthika, 2025) tools:::Rd_expr_doi("10.1007/s00357-008-9005-9"), tools:::Rd_expr_doi("10.21203/rs.3.rs-6973596/v1"). Provides tools for computation and visualization (Rousseeuw, 1987) tools:::Rd_expr_doi("10.1016/0377-0427(87)90125-7") to support robust and reproducible cluster diagnostics across standard, soft, and multi-way clustering settings.

Author

Maintainer: Shrikrishna Bhat K (ORCID) [copyright holder]

Authors:

• Kiruthika C (ORCID)

See Also

Useful links:

• https://kskbhat.github.io/Silhouette/

• Report bugs at https://github.com/kskbhat/Silhouette/issues