Silhouette: Proximity Measure Based Diagnostics for Standard, Soft, and
Multi-Way Clustering
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; Bhat & Kiruthika, 2024) <doi:10.1016/j.fss.2006.07.006>, <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.
Version: |
0.9.4 |
Imports: |
dplyr, ggplot2, ggpubr, methods |
Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), ppclust, blockcluster, cluster, factoextra, proxy |
Published: |
2025-07-30 |
DOI: |
10.32614/CRAN.package.Silhouette |
Author: |
Shrikrishna Bhat K
[aut, cre,
cph],
Kiruthika C [aut] |
Maintainer: |
Shrikrishna Bhat K <skbhat.in at gmail.com> |
License: |
GPL-2 |
URL: |
https://kskbhat.github.io/Silhouette/ |
NeedsCompilation: |
no |
Language: |
en-US |
Materials: |
README, NEWS |
CRAN checks: |
Silhouette results |
Documentation:
Downloads:
Linking:
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