MajKMeans
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 '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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | MajKMeans_0.1.0.tar.gz |
26.7 KiB |
0.1.0 |
rolling linux/noble R-4.5 | MajKMeans_0.1.0.tar.gz |
26.6 KiB |
0.1.0 |
rolling source/ R- | MajKMeans_0.1.0.tar.gz |
3.6 KiB |
0.1.0 |
latest linux/jammy R-4.5 | MajKMeans_0.1.0.tar.gz |
26.7 KiB |
0.1.0 |
latest linux/noble R-4.5 | MajKMeans_0.1.0.tar.gz |
26.6 KiB |
0.1.0 |
latest source/ R- | MajKMeans_0.1.0.tar.gz |
3.6 KiB |
0.1.0 |
2026-04-26 source/ R- | MajKMeans_0.1.0.tar.gz |
3.6 KiB |
0.1.0 |
2026-04-23 source/ R- | MajKMeans_0.1.0.tar.gz |
3.6 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | MajKMeans_0.1.0.zip |
29.6 KiB |
0.1.0 |
2025-04-20 source/ R- | MajKMeans_0.1.0.tar.gz |
3.6 KiB |