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It's a Modern K-Means clustering algorithm allowing data of any number of dimensions, any initial center, and any number of clusters to expect.
Version: | 2.1 |
Depends: | methods |
Published: | 2022-06-12 |
DOI: | 10.32614/CRAN.package.MKMeans |
Author: | Yi Ya [aut, cre], Nader Ebrahimi [aut], Yoram Rubin [aut], Jacob Zhang [aut] |
Maintainer: | Yi Ya <Yi.YA_yaya at hotmail.com> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | MKMeans results |
Reference manual: | MKMeans.pdf |
Package source: | MKMeans_2.1.tar.gz |
Windows binaries: | r-devel: MKMeans_2.1.zip, r-release: MKMeans_2.1.zip, r-oldrel: MKMeans_2.1.zip |
macOS binaries: | r-release (arm64): MKMeans_2.1.tgz, r-oldrel (arm64): MKMeans_2.1.tgz, r-release (x86_64): MKMeans_2.1.tgz, r-oldrel (x86_64): MKMeans_2.1.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.