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It's a Modern K-Means clustering algorithm which works for data of any number of dimensions, has no limit with number of clusters expected, and can start with any initial cluster centers.
| Version: | 3.3 |
| Depends: | methods, MASS |
| Published: | 2025-08-27 |
| 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_3.3.tar.gz |
| Windows binaries: | r-devel: MKMeans_3.3.zip, r-release: MKMeans_3.3.zip, r-oldrel: MKMeans_3.3.zip |
| macOS binaries: | r-release (arm64): MKMeans_3.3.tgz, r-oldrel (arm64): MKMeans_3.3.tgz, r-release (x86_64): MKMeans_3.3.tgz, r-oldrel (x86_64): MKMeans_3.3.tgz |
| Old sources: | MKMeans archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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