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fcmfd  

Fuzzy C-Means for Fuzzy Data
View on CRAN: Click here


Download and install fcmfd package within the R console
Install from CRAN:
install.packages("fcmfd")

Install from Github:
library("remotes")
install_github("cran/fcmfd")

Install by package version:
library("remotes")
install_version("fcmfd", "0.1.2")



Attach the package and use:
library("fcmfd")
Maintained by
José Ortigas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-05
Latest Update: 2026-05-05
Description:
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>.
How to cite:
José Ortigas (2026). fcmfd: Fuzzy C-Means for Fuzzy Data. R package version 0.1.2, https://cran.r-project.org/web/packages/fcmfd. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:38), 0.1.0 (2026-05-05 15:54), 0.1.1 (2026-05-23 13:50)
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Complete documentation for fcmfd
Functions, R codes and Examples using the fcmfd R package
Full fcmfd package functions and examples
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