Package: MajMinKmeans 0.1.0

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.

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

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MajMinKmeans.pdf |MajMinKmeans.html
MajMinKmeans/json (API)

# Install 'MajMinKmeans' in R:
install.packages('MajMinKmeans', repos = c('https://sheikhi-a.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 514 downloads 5 exports 1 dependencies

Last updated 6 months agofrom:e33c3afc78. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:clusters_kmclusters_MajKmEuclidkmeansMajMinOptim

Dependencies:MASS