COMMUNAL: Robust Selection of Cluster Number K

Facilitates optimal clustering of a data set. Provides a framework to run a wide range of clustering algorithms to determine the optimal number (k) of clusters in the data. Then analyzes the cluster assignments from each clustering algorithm to identify samples that repeatedly classify to the same group. We call these 'core clusters', providing a basis for later class discovery.

Version: 1.0
Depends: R (≥ 2.10), cluster
Imports: clValid, fpc, methods, rgl
Suggests: RUnit, NMF, ConsensusClusterPlus
Published: 2015-02-11
Author: Albert Chen [aut, cre], Timothy E Sweeney [aut], Olivier Gevaert [ths]
Maintainer: Albert Chen <acc2015 at stanford.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: COMMUNAL results

Downloads:

Reference manual: COMMUNAL.pdf
Vignettes: COMMUNAL: A Robust Method for Selection of Cluster Number K
Package source: COMMUNAL_1.0.tar.gz
Windows binaries: r-devel: COMMUNAL_1.0.zip, r-release: COMMUNAL_1.0.zip, r-oldrel: COMMUNAL_1.0.zip
OS X Snow Leopard binaries: r-release: COMMUNAL_1.0.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: COMMUNAL_1.0.tgz