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MajKMeans (version 0.1.0)

k-Means Algorithm with a Majorization-Minimization Method

Description

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 'MajKMeans' 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.

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Version

Install

install.packages('MajKMeans')

Monthly Downloads

162

Version

0.1.0

License

GPL-3

Maintainer

Sheikhi Ayyub

Last Published

March 28th, 2020

Functions in MajKMeans (0.1.0)

Euclid

Euclidian distance
clusters_MajKm

clustering results of the majorized k-mean algorithm
kmeans

k-means function
clusters_km

clustering results of the k-mean algorithm