Package: clusterSim
Title: Searching for Optimal Clustering Procedure for a Data Set
Version: 0.45-2
Date: 2017-03-28
Author: Marek Walesiak <marek.walesiak@ue.wroc.pl> Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Depends: cluster, MASS
Imports: ade4, e1071, rgl, R2HTML, modeest, grDevices, graphics, stats,
        utils
Suggests: mlbench, testthat
Description: 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).
License: GPL (>= 2)
URL: http://keii.ue.wroc.pl/clusterSim
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2017-03-28 11:52:20 UTC; Andrzej
Repository: CRAN
Date/Publication: 2017-03-31 09:55:16 UTC
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 08:43:27 UTC; windows
Archs: i386, x64
