The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.