clusterSim: Searching for optimal clustering procedure for a data set

GDM Distance, Sokal-Michener Distance, Bray-Curtis Distance, Calinski-Harabasz Index, G2 Index, G3 Index, Silhouette Index, Krzanowski-Lai Index, Hartigan Index, Gap Index, DB Index, Data Normalization, HINoV method, Replication analysis for cluster validation, Clustering with several algorithms, distances, Symbolic interval distances, Plot functions, Random cluster generation, Linear ordering methods, Comparing partitions, Spectral clustering, Ordinal to metric scale transformation, Untypical data generation.

Version: 0.43-4
Depends: cluster, MASS
Imports: ade4, e1071, rgl, R2HTML
Suggests: mlbench
Published: 2014-02-27
Author: Marek Walesiak Andrzej Dudek
Maintainer: Andrzej Dudek <andrzej.dudek at ue.wroc.pl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://keii.ue.wroc.pl/clusterSim
NeedsCompilation: yes
In views: Cluster, Multivariate
CRAN checks: clusterSim results

Downloads:

Reference manual: clusterSim.pdf
Package source: clusterSim_0.43-4.tar.gz
OS X binary: clusterSim_0.43-4.tgz
Windows binary: clusterSim_0.43-4.zip
Old sources: clusterSim archive

Reverse dependencies:

Reverse depends: emma, symbolicDA
Reverse imports: comato, conjoint