fcmfd: Fuzzy C-Means for Fuzzy Data

Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), Fuzzy and possibilistic clustering for fuzzy data, <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), A validity measure for fuzzy clustering, <doi:10.1109/34.85677>.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-05-05
DOI: 10.32614/CRAN.package.fcmfd (may not be active yet)
Author: José Ortigas [aut, cre]
Maintainer: José Ortigas <jose.ortigas at unmsm.edu.pe>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: fcmfd results

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Package source: fcmfd_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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