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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.

Versions across snapshots

VersionRepositoryFileSize
2.1.3 rolling linux/jammy R-4.5 SoftClustering_2.1.3.tar.gz 77.2 KiB
2.1.3 rolling linux/noble R-4.5 SoftClustering_2.1.3.tar.gz 77.0 KiB
2.1.3 rolling source/ R- SoftClustering_2.1.3.tar.gz 17.4 KiB
2.1.3 latest linux/jammy R-4.5 SoftClustering_2.1.3.tar.gz 77.2 KiB
2.1.3 latest linux/noble R-4.5 SoftClustering_2.1.3.tar.gz 77.0 KiB
2.1.3 latest source/ R- SoftClustering_2.1.3.tar.gz 17.4 KiB
2.1.3 2026-04-26 source/ R- SoftClustering_2.1.3.tar.gz 17.4 KiB
2.1.3 2026-04-23 source/ R- SoftClustering_2.1.3.tar.gz 17.4 KiB
2.1.3 2026-04-09 windows/windows R-4.5 SoftClustering_2.1.3.zip 80.7 KiB
2.1.3 2025-04-20 source/ R- SoftClustering_2.1.3.tar.gz 17.4 KiB