Package: clusterSim
Title: Searching for optimal clustering procedure for a data set
Version: 0.36-6
Date: 2009-10-23
Author: Marek Walesiak <marek.walesiak@ue.wroc.pl> Andrzej Dudek
<andrzej.dudek@ue.wroc.pl>
Maintainer: Andrzej Dudek <andrzej.dudek@ue.wroc.pl>
Depends: ade4, cluster, R2HTML, e1071, rgl, MASS
Description: 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, normalizations and icq indices, Symbolic
interval distances, Plot functions, Random cluster generation
License: GPL (>= 2)
URL: http://keii.ue.wroc.pl/clusterSim
Encoding: UTF-8
Packaged: Fri Oct 23 10:34:02 2009; andrzej
Repository: CRAN
Date/Publication: 2009-10-23 11:00:36

Linear ranking Nowak partition agreement index

Depends: ade4, cluster, R2HTML, e1071, rgl, MASS, mlbench
algorithms, distances, Symbolic interval distances, Plot
functions, Random cluster generation, Linear ordering methods,

Clustering with several algorithms, distances,

Title: Searching for Optimal Clustering Procedure for a Data Set
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 categorial and symbolic interval-valued data).

Imports: ade4, e1071, rgl, R2HTML, modeest, grDevices, graphics, stats,

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).