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.

Getting started

Package details

AuthorSheikhi Ayyub [aut, cre], Yaghoobi Mohammad Ali [aut]
MaintainerSheikhi Ayyub <>
Package repositoryView on CRAN
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MajMinKmeans documentation built on May 29, 2024, 8:30 a.m.