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.

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

Documentation:

Reference manual:

SoftClustering.pdf

Downloads:

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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