clusterSim

cranv0.51-6

Searching 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=clusterSim
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safe to use

[email protected] is safe to use (health: 48/100)

Health breakdown0 – 100
15/25
maintenance
6/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2026-01-19 13:31:54

Last updated · 2026-01-19T11:40:02+00:00