clusterSim: Searching for Optimal Clustering Procedure for a Data Set
Version 0.45-2

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, data generation (typical and non-typical data), HINoV method, replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorical and symbolic interval-valued data).

Getting started

Package details

AuthorMarek Walesiak <> Andrzej Dudek <>
Date of publication2017-03-31 09:55:16 UTC
MaintainerAndrzej Dudek <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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clusterSim documentation built on May 29, 2017, 8:44 p.m.