Package: MajMinKmeans 0.1.0
MajMinKmeans: k-Means Algorithm with a Majorization-Minimization Method
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.
Authors:
MajMinKmeans_0.1.0.tar.gz
MajMinKmeans_0.1.0.zip(r-4.7)MajMinKmeans_0.1.0.zip(r-4.6)MajMinKmeans_0.1.0.zip(r-4.5)
MajMinKmeans_0.1.0.tgz(r-4.6-any)MajMinKmeans_0.1.0.tgz(r-4.5-any)
MajMinKmeans_0.1.0.tar.gz(r-4.7-any)MajMinKmeans_0.1.0.tar.gz(r-4.6-any)
MajMinKmeans_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MajMinKmeans/json (API)
| # Install 'MajMinKmeans' in R: |
| install.packages('MajMinKmeans', repos = c('https://sheikhi-a.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e33c3afc78. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 96 | ||
| source / vignettes | OK | 119 | ||
| linux-release-x86_64 | OK | 104 | ||
| macos-release-arm64 | OK | 156 | ||
| macos-oldrel-arm64 | OK | 135 | ||
| windows-devel | OK | 67 | ||
| windows-release | OK | 57 | ||
| windows-oldrel | OK | 60 | ||
| wasm-release | OK | 87 |
Exports:clusters_kmclusters_MajKmEuclidkmeansMajMinOptim
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| clustering results of the k-mean algorithm | clusters_km |
| clustering results of the majorized k-mean algorithm | clusters_MajKm |
| Euclidian distance | Euclid |
| k-means function | kmeans |
| majorization-minimization optimization | MajMinOptim |
