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Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.
| Version: | 0.6-26 |
| Imports: | stats |
| Published: | 2023-05-02 |
| Author: | Evgenia Dimitriadou [aut], Kurt Hornik [ctb, cre] |
| Maintainer: | Kurt Hornik <Kurt.Hornik at R-project.org> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| In views: | Cluster |
| CRAN checks: | cclust results |
| Reference manual: | cclust.pdf |
| Package source: | cclust_0.6-26.tar.gz |
| Windows binaries: | r-devel: cclust_0.6-26.zip, r-release: cclust_0.6-26.zip, r-oldrel: cclust_0.6-26.zip |
| macOS binaries: | r-release (arm64): cclust_0.6-26.tgz, r-oldrel (arm64): cclust_0.6-26.tgz, r-release (x86_64): cclust_0.6-26.tgz, r-oldrel (x86_64): cclust_0.6-26.tgz |
| Old sources: | cclust archive |
| Reverse depends: | MOCCA |
| Reverse suggests: | FCPS |
| Reverse enhances: | clue |
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