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
DOI: 10.32614/CRAN.package.progenyClust
Author: C.W. Hu
Maintainer: C.W. Hu <wendyhu001 at>
License: AGPL-3
NeedsCompilation: no
CRAN checks: progenyClust results


Reference manual: progenyClust.pdf


Package source: progenyClust_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): progenyClust_1.2.tgz, r-oldrel (arm64): progenyClust_1.2.tgz, r-release (x86_64): progenyClust_1.2.tgz, r-oldrel (x86_64): progenyClust_1.2.tgz
Old sources: progenyClust archive


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