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: 1.1.0
Depends: R (≥ 2.10), cluster, clValid, fpc
Imports: methods, grDevices, graphics, stats, utils
Suggests: RUnit, NMF, ConsensusClusterPlus, rgl, kohonen
Published: 2015-10-12
Author: Albert Chen [aut, cre], Timothy E Sweeney [aut], Olivier Gevaert [ths]
Maintainer: Albert Chen <acc2015 at stanford.edu>
License: GPL-2
NeedsCompilation: no
Citation: COMMUNAL citation info
CRAN checks: COMMUNAL results

Downloads:

Reference manual: COMMUNAL.pdf
Vignettes: COMMUNAL: A Robust Method for Selection of Cluster Number K
Package source: COMMUNAL_1.1.0.tar.gz
Windows binaries: r-devel: COMMUNAL_1.1.0.zip, r-release: COMMUNAL_1.1.0.zip, r-oldrel: COMMUNAL_1.1.0.zip
OS X El Capitan binaries: r-release: COMMUNAL_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: COMMUNAL_1.1.0.tgz
Old sources: COMMUNAL archive

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