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MajMinKmeans  

k-Means Algorithm with a Majorization-Minimization Method
View on CRAN: Click here


Download and install MajMinKmeans package within the R console
Install from CRAN:
install.packages("MajMinKmeans")

Install from Github:
library("remotes")
install_github("cran/MajMinKmeans")

Install by package version:
library("remotes")
install_version("MajMinKmeans", "0.1.0")



Attach the package and use:
library("MajMinKmeans")
Maintained by
Sheikhi Ayyub
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-17
Latest Update: 2024-05-17
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) <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.
How to cite:
Sheikhi Ayyub (2024). MajMinKmeans: k-Means Algorithm with a Majorization-Minimization Method. R package version 0.1.0, https://cran.r-project.org/web/packages/MajMinKmeans. Accessed 21 Nov. 2024.
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