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 k-means clustering as a default, provides a tailored hierarchical clustering function, and can be customized to work with other clustering algorithms and different parameter settings. The package includes a main function progenyClust(), plot and summary methods for 'progenyClust' object, a function hclust.progenyClust() for hierarchical clustering, and two example datasets (test and cell) for testing.

Version: 1.2
Depends: graphics, stats, grDevices
Imports: Hmisc
Published: 2016-04-12
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_1.2.tar.gz
Windows binaries: r-devel: progenyClust_1.2.zip, r-release: progenyClust_1.2.zip, r-oldrel: progenyClust_1.2.zip
OS X El Capitan binaries: r-release: progenyClust_1.2.tgz
OS X Mavericks binaries: r-oldrel: progenyClust_1.2.tgz
Old sources: progenyClust archive

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