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.
| Version: | 2.1.3 |
| Depends: | R (≥ 4.1) |
| Published: | 2023-08-18 |
| DOI: | 10.32614/CRAN.package.SoftClustering |
| Author: | G. Peters (Ed.) |
| Maintainer: | G. Peters <peters.activities at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | SoftClustering results |
| Reference manual: | SoftClustering.html , SoftClustering.pdf |
| Package source: | SoftClustering_2.1.3.tar.gz |
| Windows binaries: | r-devel: SoftClustering_2.1.3.zip, r-release: SoftClustering_2.1.3.zip, r-oldrel: SoftClustering_2.1.3.zip |
| macOS binaries: | r-release (arm64): SoftClustering_2.1.3.tgz, r-oldrel (arm64): SoftClustering_2.1.3.tgz, r-release (x86_64): SoftClustering_2.1.3.tgz, r-oldrel (x86_64): SoftClustering_2.1.3.tgz |
| Old sources: | SoftClustering archive |
Please use the canonical form https://CRAN.R-project.org/package=SoftClustering to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.