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) . 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.


Reference manual

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install.packages("MajMinKmeans")

0.1.0 by Sheikhi Ayyub, 2 years ago


Browse source code at https://github.com/cran/MajMinKmeans


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


Documentation:   PDF Manual  


GPL-3 license


Imports MASS


See at CRAN