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).

Documentation

Manual: clusterSim.pdf
Vignette: None available.

Maintainer: Andrzej Dudek <andrzej.dudek at ue.wroc.pl>

Author(s): Marek Walesiak <marek.walesiak at ue.wroc.pl> Andrzej Dudek <andrzej.dudek at ue.wroc.pl>

Install package and any missing dependencies by running this line in your R console:

install.packages("clusterSim")

Depends cluster, MASS
Imports ade4, e1071, rgl, R2HTML, modeest, grDevices, graphics, stats, utils
Suggests mlbench, testthat
Enhances
Linking to
Reverse
depends
emma, mdsOpt, symbolicDA
Reverse
imports
comato, conjoint
Reverse
suggests
mlr
Reverse
enhances
Reverse
linking to

Package clusterSim
Materials
URL http://keii.ue.wroc.pl/clusterSim
Task Views Cluster , Multivariate
Version 0.45-1
Published 2016-11-01
License GPL (>= 2)
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks clusterSim check results
Package source clusterSim_0.45-1.tar.gz