clusterSim: 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, 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).

Version: 0.45-2
Depends: cluster, MASS
Imports: ade4, e1071, rgl, R2HTML, modeest, grDevices, graphics, stats, utils
Suggests: mlbench, testthat
Published: 2017-03-31
Author: Marek Walesiak Andrzej Dudek
Maintainer: Andrzej Dudek <andrzej.dudek at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Cluster, Multivariate
CRAN checks: clusterSim results


Reference manual: clusterSim.pdf
Package source: clusterSim_0.45-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: clusterSim_0.45-2.tgz
OS X Mavericks binaries: r-oldrel: clusterSim_0.45-2.tgz
Old sources: clusterSim archive

Reverse dependencies:

Reverse depends: emma, mdsOpt, symbolicDA
Reverse imports: comato, conjoint
Reverse suggests: mlr


Please use the canonical form to link to this page.