Proximity Measure Based Diagnostics for Standard, Soft, and Multi-Way Clustering R package Silhouette version 0.9.6 CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) 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) <doi:10.1080/0094965031000136012>, Probability of Alternative Cluster normalization methods (Raymaekers & Rousseeuw, 2022) <doi:10.1080/10618600.2022.2050249>, fuzzy clustering and silhouette diagnostics using membership probabilities (Campello & Hruschka, 2006; Menardi, 2011; Bhat & Kiruthika, 2024) <doi:10.1016/j.fss.2006.07.006>, <doi:10.1007/s11222-010-9169-0>, <doi:10.1080/23737484.2024.2408534>, and multi-way clustering extensions such as block and tensor clustering (Schepers et al., 2008; Bhat & Kiruthika, 2025) <doi:10.1007/s00357-008-9005-9>, <doi:10.21203/rs.3.rs-6973596/v1>. Provides tools for computation and visualization (Rousseeuw, 1987) <doi:10.1016/0377-0427(87)90125-7> to support robust and reproducible cluster diagnostics across standard, soft, and multi-way clustering settings. Software Depends: R (>= 4.2.0) Imports: dplyr, ggplot2, ggpubr, lifecycle, methods, stats Suggests: proxy, ppclust, blockcluster, cluster, factoextra, drclust, tidyr, knitr, rmarkdown, testthat (>= 3.0.0) Shrikrishna Bhat K <skbhat.in@gmail.com> Comprehensive R Archive Network (CRAN) Shrikrishna Bhat K [aut, cre, cph] (ORCID: <https://orcid.org/0009-0000-6180-5783>), Kiruthika C [aut] (ORCID: <https://orcid.org/0000-0001-9655-702X>) GPL-2 2025-10-15 application/tgz https://CRAN.R-project.org/package=Silhouette doi:10.32614/CRAN.package.Silhouette en-US