progenyClust: Finding the Optimal Cluster Number Using Progeny Clustering

Implementing the Progeny Clustering algorithm, the progenyClust package assesses the clustering stability and identifies the optimal clustering number for a given data matrix. It uses kmeans clustering as default, but can be customized to work with other clustering algorithms and different parameter settings. The package includes one main function progenyClust(), plot and summary methods for progenyClust object, and one example dataset example for testing.

Version: 1.0
Depends: graphics, stats
Imports: Hmisc
Published: 2015-11-09
Author: C.W. Hu
Maintainer: C.W. Hu <wendyhu001 at gmail.com>
License: AGPL-3
NeedsCompilation: no
CRAN checks: progenyClust results

Downloads:

Reference manual: progenyClust.pdf
Package source: progenyClust_1.0.tar.gz
Windows binaries: r-devel: progenyClust_1.0.zip, r-release: progenyClust_1.0.zip, r-oldrel: progenyClust_1.0.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: progenyClust_1.0.tgz