progenyClust-package


Implementing the Progeny Clustering algorithm based on Hu, Chenyue W., et al. "Progeny Clustering: A Method to Identify Biological Phenotypes." Scientific Reports 5 (2015), 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 two example dataset ("test" and "cell") for testing. 


 package

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.

progenyClust-package: Finding the Optimal Cluster Number Using Progeny Clustering

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