Package: SoftClustering 2.1.3
G. Peters
SoftClustering: Soft Clustering Algorithms
It contains soft clustering algorithms, in particular approaches derived from rough set theory: Lingras & West original rough k-means, Peters' refined rough k-means, and PI rough k-means. It also contains classic k-means and a corresponding illustrative demo.
Authors:
SoftClustering_2.1.3.tar.gz
SoftClustering_2.1.3.tar.gz(r-4.5-noble)SoftClustering_2.1.3.tar.gz(r-4.4-noble)
SoftClustering_2.1.3.tgz(r-4.4-emscripten)SoftClustering_2.1.3.tgz(r-4.3-emscripten)
SoftClustering.pdf |SoftClustering.html✨
SoftClustering/json (API)
# Install 'SoftClustering' in R: |
install.packages('SoftClustering', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- DemoDataC2D2a - A small two-dimensional dataset with two clusters for demonstration purposes. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
- initMeansC2D2a - Two-dimensional dataset with two initial cluster means for the dataset DemoDataC2D2a. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
- initMeansC3D2a - Two-dimensional dataset with three initial cluster means for the dataset DemoDataC2D2a. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
- initMeansC4D2a - Two-dimensional dataset with four initial cluster means for the dataset DemoDataC2D2a. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
- initMeansC5D2a - Two-dimensional dataset with five initial cluster means for the dataset DemoDataC2D2a. See examples in the Help/Description of a function, e.g. for HardKMeansDemo().
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:a1c58da02d. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 18 2024 |
R-4.5-linux | OK | Dec 18 2024 |
Exports:createLowerMShipMatrixHardKMeansHardKMeansDemonormalizeMatrixRoughKMeans_LWRoughKMeans_PERoughKMeans_PIRoughKMeans_SHELL
Dependencies: