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.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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