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-4.5)MajMinKmeans_0.1.0.zip(r-4.4)MajMinKmeans_0.1.0.zip(r-4.3)
MajMinKmeans_0.1.0.tgz(r-4.4-any)MajMinKmeans_0.1.0.tgz(r-4.3-any)
MajMinKmeans_0.1.0.tar.gz(r-4.5-noble)MajMinKmeans_0.1.0.tar.gz(r-4.4-noble)
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MajMinKmeans.pdf |MajMinKmeans.html✨
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 6 months agofrom:e33c3afc78. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | OK | Nov 14 2024 |
R-4.5-linux | OK | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
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 |