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.

Maintainer: Albert Chen <acc2015 at stanford.edu>

Author(s): Albert Chen*, Timothy E Sweeney*, Olivier Gevaert*

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

install.packages("COMMUNAL")

Depends R (>= 2.10), cluster, clValid, fpc
Imports methods, grDevices, graphics, stats, utils
Suggests RUnit, NMF, ConsensusClusterPlus, rgl, kohonen
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Package COMMUNAL
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Version 1.1.0
Published 2015-10-12
License GPL-2
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NeedsCompilation no
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Package source COMMUNAL_1.1.0.tar.gz