Package: MajMinKmeans 0.1.0

MajMinKmeans: k-Means Algorithm with a Majorization-Minimization Method

A hybrid of the K-means algorithm and a Majorization-Minimization method to introduce a robust clustering. The reference paper is: Julien Mairal, (2015) <doi:10.1137/140957639>. The two most important functions in package 'MajMinKmeans' are cluster_km() and cluster_MajKm(). Cluster_km() clusters data without Majorization-Minimization and cluster_MajKm() clusters data with Majorization-Minimization method. Both of these functions calculate the sum of squares (SS) of clustering. Another useful function is MajMinOptim(), which helps to find the optimum values of the Majorization-Minimization estimator.

Authors:Sheikhi Ayyub [aut, cre], Yaghoobi Mohammad Ali [aut]

MajMinKmeans_0.1.0.tar.gz
MajMinKmeans_0.1.0.zip(r-4.7)MajMinKmeans_0.1.0.zip(r-4.6)MajMinKmeans_0.1.0.zip(r-4.5)
MajMinKmeans_0.1.0.tgz(r-4.6-any)MajMinKmeans_0.1.0.tgz(r-4.5-any)
MajMinKmeans_0.1.0.tar.gz(r-4.7-any)MajMinKmeans_0.1.0.tar.gz(r-4.6-any)
MajMinKmeans_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
MajMinKmeans/json (API)

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

On CRAN:

Conda:

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

1.00 score 548 downloads 5 exports 1 dependencies

Last updated from:e33c3afc78. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK96
source / vignettesOK119
linux-release-x86_64OK104
macos-release-arm64OK156
macos-oldrel-arm64OK135
windows-develOK67
windows-releaseOK57
windows-oldrelOK60
wasm-releaseOK87

Exports:clusters_kmclusters_MajKmEuclidkmeansMajMinOptim

Dependencies:MASS