A hybrid of the Kmeans algorithm and a MajorizationMinimization 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 MajorizationMinimization and cluster_MajKm() clusters data with MajorizationMinimization 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 MajorizationMinimization estimator.
Package details 


Author  Sheikhi Ayyub [aut, cre], Yaghoobi Mohammad Ali [aut] 
Maintainer  Sheikhi Ayyub <sheikhy.a@uk.ac.ir> 
License  GPL3 
Version  0.1.0 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.