Package: progenyClust 1.2

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.

Authors:C.W. Hu

progenyClust_1.2.tar.gz
progenyClust_1.2.zip(r-4.5)progenyClust_1.2.zip(r-4.4)progenyClust_1.2.zip(r-4.3)
progenyClust_1.2.tgz(r-4.4-any)progenyClust_1.2.tgz(r-4.3-any)
progenyClust_1.2.tar.gz(r-4.5-noble)progenyClust_1.2.tar.gz(r-4.4-noble)
progenyClust_1.2.tgz(r-4.4-emscripten)progenyClust_1.2.tgz(r-4.3-emscripten)
progenyClust.pdf |progenyClust.html
progenyClust/json (API)

# Install 'progenyClust' in R:
install.packages('progenyClust', repos = c('https://huhuhuyeye.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • cell - Cell imaging metrics dataset
  • test - 3-cluster 2-dimensional test dataset

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2 exports 0.36 score 65 dependencies 1 mentions 5 scripts 130 downloads

Last updated 8 years agofrom:21aa39e1a0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winOKSep 01 2024
R-4.5-linuxOKSep 01 2024
R-4.4-winOKSep 01 2024
R-4.4-macOKSep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

Exports:hclust.progenyClustprogenyClust

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml