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.
| Version: |
0.1.0 |
| Imports: |
MASS |
| Published: |
2024-05-17 |
| Author: |
Sheikhi Ayyub [aut, cre],
Yaghoobi Mohammad Ali [aut] |
| Maintainer: |
Sheikhi Ayyub <sheikhy.a at uk.ac.ir> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
MajMinKmeans results |
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