The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 ORCID iD [aut, cre, cph]
Maintainer: Kamil Kmita <kamil.kmita17 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README, NEWS
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:

Please use the canonical form https://CRAN.R-project.org/package=fussclust to link to this page.

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.