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
Author:	José Ortigas [aut, cre]
Maintainer:	José Ortigas <jose.ortigas at unmsm.edu.pe>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	fcmfd results

Documentation:

Reference manual:	fcmfd.html , fcmfd.pdf
Vignettes:	Introduction to fcmfd (source, R code)

Downloads:

Package source:	fcmfd_0.1.0.tar.gz
Windows binaries:	r-devel: fcmfd_0.1.0.zip, r-release: fcmfd_0.1.0.zip, r-oldrel: fcmfd_0.1.0.zip
macOS binaries:	r-release (arm64): fcmfd_0.1.0.tgz, r-oldrel (arm64): fcmfd_0.1.0.tgz, r-release (x86_64): fcmfd_0.1.0.tgz, r-oldrel (x86_64): fcmfd_0.1.0.tgz

Linking:

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