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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 'MajMinKmeans' 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. Another useful function is MajMinOptim(), which helps to find the optimum values of the Majorization-Minimization estimator.
| Version: | 0.1.0 |
| Imports: | MASS |
| Published: | 2024-05-17 |
| DOI: | 10.32614/CRAN.package.MajMinKmeans |
| Author: | Sheikhi Ayyub [aut, cre], Yaghoobi Mohammad Ali [aut] |
| Maintainer: | Sheikhi Ayyub <sheikhy.a at uk.ac.ir> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MajMinKmeans results |
| Reference manual: | MajMinKmeans.pdf |
| Package source: | MajMinKmeans_0.1.0.tar.gz |
| Windows binaries: | r-devel: MajMinKmeans_0.1.0.zip, r-release: MajMinKmeans_0.1.0.zip, r-oldrel: MajMinKmeans_0.1.0.zip |
| macOS binaries: | r-release (arm64): MajMinKmeans_0.1.0.tgz, r-oldrel (arm64): MajMinKmeans_0.1.0.tgz, r-release (x86_64): MajMinKmeans_0.1.0.tgz, r-oldrel (x86_64): MajMinKmeans_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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