fussclust: Fuzzy Unsupervised and Semi-Supervised Clustering
Methods for distance-based fuzzy unsupervised and semi-supervised clustering, including fuzzy and possibilistic models based on alternating optimization (AO) algorithm. The package introduces a vectorized estimation framework for prototype-based fuzzy clustering algorithms, enabling modular algorithm design and extensibility. It also supports storage and retrieval of intermediate AO optimization results for downstream analysis and processing. For more details see Kmita et al. (2024) <doi:10.1109/TFUZZ.2024.3370768>.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | rdist |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-06-02 |
| DOI: | 10.32614/CRAN.package.fussclust |
| Author: | Kamil Kmita  [aut,
cre, cph] |
| Maintainer: | Kamil Kmita <kamil.kmita17 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| In views: | Cluster |
| CRAN checks: | fussclust results |
Documentation:
| Reference manual: | fussclust.html , fussclust.pdf |
| Vignettes: |
fuzzy-clustering (source, R code) |
Downloads:
| Package source: | fussclust_0.1.0.tar.gz |
| Windows binaries: | r-devel: fussclust_0.1.0.zip, r-release: fussclust_0.1.0.zip, r-oldrel: fussclust_0.1.0.zip |
| macOS binaries: | r-release (arm64): fussclust_0.1.0.tgz, r-oldrel (arm64): fussclust_0.1.0.tgz, r-release (x86_64): fussclust_0.1.0.tgz, r-oldrel (x86_64): fussclust_0.1.0.tgz |
Linking:
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