The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 0.1.0 |
| Imports: | MASS |
| Published: | 2020-03-28 |
| Author: | Sheikhi Ayyub [aut, cre], Yaghoubi Mohammad Ali [aut] |
| Maintainer: | Sheikhi Ayyub <sheikhy.a at uk.ac.ir> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MajKMeans results |
| Reference manual: | MajKMeans.pdf |
| Package source: | MajKMeans_0.1.0.tar.gz |
| Windows binaries: | r-devel: MajKMeans_0.1.0.zip, r-release: MajKMeans_0.1.0.zip, r-oldrel: MajKMeans_0.1.0.zip |
| macOS binaries: | r-release (arm64): MajKMeans_0.1.0.tgz, r-oldrel (arm64): MajKMeans_0.1.0.tgz, r-release (x86_64): MajKMeans_0.1.0.tgz, r-oldrel (x86_64): MajKMeans_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MajKMeans to link to this page.
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.
Health stats visible at Monitor.