clusterSim
cranv0.51-6Searching for Optimal Clustering Procedure for a Data Set. Distance measures (GDM1, GDM2, Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap, Davies-Bouldin), data normalization formulas (metric data, interval-valued symbolic data
License GPL (>= 2)0 versions1 maintainers8 deps1,368 weekly dl
https://CRAN.R-project.org/package=clusterSim48
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curl https://depscope.dev/api/check/cran/clusterSimFirst published · 2026-01-19 13:31:54
Last updated · 2026-01-19T11:40:02+00:00