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).
Version: | 0.44-2 |
Depends: | cluster, MASS |
Imports: | ade4, e1071, rgl, R2HTML |
Suggests: | mlbench |
Published: | 2015-03-14 |
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 |
Reference manual: | clusterSim.pdf |
Package source: | clusterSim_0.44-2.tar.gz |
Windows binaries: | r-devel: clusterSim_0.44-2.zip, r-release: clusterSim_0.44-2.zip, r-oldrel: clusterSim_0.44-2.zip |
OS X Snow Leopard binaries: | r-release: clusterSim_0.44-2.tgz, r-oldrel: clusterSim_0.43-5.tgz |
OS X Mavericks binaries: | r-release: clusterSim_0.44-2.tgz |
Old sources: | clusterSim archive |
Reverse depends: | emma, symbolicDA |
Reverse imports: | comato, conjoint |
Reverse suggests: | mlr |