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 |
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