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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 |
| 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 |
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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.
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