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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | fcmfd_0.1.0.tar.gz |
102.5 KiB |
0.1.0 |
rolling linux/noble R-4.5 | fcmfd_0.1.0.tar.gz |
102.4 KiB |
0.1.0 |
rolling source/ R- | fcmfd_0.1.0.tar.gz |
34.6 KiB |
0.1.0 |
latest linux/jammy R-4.5 | fcmfd_0.1.0.tar.gz |
102.5 KiB |
0.1.0 |
latest linux/noble R-4.5 | fcmfd_0.1.0.tar.gz |
102.4 KiB |
0.1.0 |
latest source/ R- | fcmfd_0.1.0.tar.gz |
34.6 KiB |
0.1.0 |
2026-04-23 source/ R- | fcmfd_0.1.0.tar.gz |
0 B |