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progenyClust  

Finding the Optimal Cluster Number Using Progeny Clustering
View on CRAN: Click here


Download and install progenyClust package within the R console
Install from CRAN:
install.packages("progenyClust")

Install from Github:
library("remotes")
install_github("cran/progenyClust")

Install by package version:
library("remotes")
install_version("progenyClust", "1.2")



Attach the package and use:
library("progenyClust")
Maintained by
C.W. Hu
[Scholar Profile | Author Map]
First Published: 2015-11-09
Latest Update: 2016-04-12
Description:
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.
How to cite:
C.W. Hu (2015). progenyClust: Finding the Optimal Cluster Number Using Progeny Clustering. R package version 1.2, https://cran.r-project.org/web/packages/progenyClust. Accessed 12 Apr. 2025.
Previous versions and publish date:
1.0 (2015-11-09 21:19), 1.1 (2015-11-25 08:54)
Other packages that cited progenyClust R package
View progenyClust citation profile
Other R packages that progenyClust depends, imports, suggests or enhances
Complete documentation for progenyClust
Functions, R codes and Examples using the progenyClust R package
Some associated functions: cell . hclust.progenyClust . plot.progenyClust . progenyClust-package . progenyClust . test . 
Some associated R codes: hclust.progenyClust.R . plot.progenyClust.R . print.summary.progenyClust.R . progenyClust-internal.R . progenyClust.R . summary.progenyClust.R .  Full progenyClust package functions and examples
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