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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | MajMinKmeans_0.1.0.tar.gz |
30.9 KiB |
0.1.0 |
rolling linux/noble R-4.5 | MajMinKmeans_0.1.0.tar.gz |
30.9 KiB |
0.1.0 |
rolling source/ R- | MajMinKmeans_0.1.0.tar.gz |
4.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | MajMinKmeans_0.1.0.tar.gz |
30.9 KiB |
0.1.0 |
latest linux/noble R-4.5 | MajMinKmeans_0.1.0.tar.gz |
30.9 KiB |
0.1.0 |
latest source/ R- | MajMinKmeans_0.1.0.tar.gz |
4.3 KiB |
0.1.0 |
2026-04-26 source/ R- | MajMinKmeans_0.1.0.tar.gz |
4.3 KiB |
0.1.0 |
2026-04-23 source/ R- | MajMinKmeans_0.1.0.tar.gz |
4.3 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | MajMinKmeans_0.1.0.zip |
34.1 KiB |
0.1.0 |
2025-04-20 source/ R- | MajMinKmeans_0.1.0.tar.gz |
4.3 KiB |