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.

Author
C.W. Hu
Date of publication
2016-04-12 20:04:15
Maintainer
C.W. Hu <wendyhu001@gmail.com>
License
AGPL-3
Version
1.2

View on CRAN

Man pages

cell
cell imaging metrics dataset
hclust.progenyClust
Hierarchical Clustering
plot.progenyClust
Plot Progeny Clustering Results
progenyClust
Progeny Clustering
progenyClust-package
Finding the Optimal Cluster Number Using Progeny Clustering
test
3-cluster 2-dimensional test dataset

Files in this package

progenyClust
progenyClust/NAMESPACE
progenyClust/data
progenyClust/data/test.rda
progenyClust/data/cell.rda
progenyClust/R
progenyClust/R/progenyClust-internal.R
progenyClust/R/print.summary.progenyClust.R
progenyClust/R/summary.progenyClust.R
progenyClust/R/hclust.progenyClust.R
progenyClust/R/plot.progenyClust.R
progenyClust/R/progenyClust.R
progenyClust/MD5
progenyClust/DESCRIPTION
progenyClust/man
progenyClust/man/progenyClust.Rd
progenyClust/man/plot.progenyClust.Rd
progenyClust/man/test.Rd
progenyClust/man/progenyClust-package.Rd
progenyClust/man/cell.Rd
progenyClust/man/hclust.progenyClust.Rd