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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.

Version:0.1.0
Imports:MASS
Published:2024-05-17
DOI:10.32614/CRAN.package.MajMinKmeans
Author:Sheikhi Ayyub [aut, cre], Yaghoobi Mohammad Ali [aut]
Maintainer:Sheikhi Ayyub <sheikhy.a at uk.ac.ir>
License:GPL-3
NeedsCompilation:no
CRAN checks:MajMinKmeans results

Documentation:

Reference manual:MajMinKmeans.html ,MajMinKmeans.pdf

Downloads:

Package source: MajMinKmeans_0.1.0.tar.gz
Windows binaries: r-devel:MajMinKmeans_0.1.0.zip, r-release:MajMinKmeans_0.1.0.zip, r-oldrel:MajMinKmeans_0.1.0.zip
macOS binaries: r-release (arm64):MajMinKmeans_0.1.0.tgz, r-oldrel (arm64):MajMinKmeans_0.1.0.tgz, r-release (x86_64):MajMinKmeans_0.1.0.tgz, r-oldrel (x86_64):MajMinKmeans_0.1.0.tgz

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Please use the canonical formhttps://CRAN.R-project.org/package=MajMinKmeansto link to this page.


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