It's a Modern K-Means clustering algorithm which works for data of any number of dimensions, has no limit with the number of clusters expected, offers both methods with and without initial cluster centers, and can start with any initial cluster centers for the method with initial cluster centers.
| Version: | 3.4.4 |
| Depends: | methods, MASS, gtools |
| Published: | 2025-09-08 |
| DOI: | 10.32614/CRAN.package.MKMeans |
| Author: | Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin [ctb], Jacob Zhang [ctb] |
| Maintainer: | Yarong Yang <Yi.YA_yaya at hotmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | MKMeans results |
| Reference manual: | MKMeans.html , MKMeans.pdf |
| Package source: | MKMeans_3.4.4.tar.gz |
| Windows binaries: | r-devel: MKMeans_3.4.4.zip, r-release: MKMeans_3.4.4.zip, r-oldrel: MKMeans_3.4.4.zip |
| macOS binaries: | r-release (arm64): MKMeans_3.4.4.tgz, r-oldrel (arm64): MKMeans_3.4.4.tgz, r-release (x86_64): MKMeans_3.4.4.tgz, r-oldrel (x86_64): MKMeans_3.4.4.tgz |
| Old sources: | MKMeans archive |
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