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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 gmail.com> |
| License: | AGPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | progenyClust results |
| 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 |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.