pfclust
Power Fuzzy Clustering and Cluster-Wise Regression
Implementations of Power Fuzzy Clustering (PFC) and Power Fuzzy Cluster-wise Regression (PFCR) for multivariate data. The package supports Minkowski distances, with the L1 case solved via iteratively re-weighted least squares and the case p > 1 solved via coordinate-wise root finding, as well as an adaptive, regularised Mahalanobis distance with per-cluster covariance matrices. Both plain fuzzy clustering and cluster-wise linear regression are provided. The corresponding paper can be found at Nguyen P.T., Tortora C., and Punzo A. (2026) <doi:10.1109/TFUZZ.2026.3683998>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | pfclust_0.1.0.tar.gz |
52.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | pfclust_0.1.0.tar.gz |
51.9 KiB |
0.1.0 |
rolling source/ R- | pfclust_0.1.0.tar.gz |
7.6 KiB |
0.1.0 |
latest linux/jammy R-4.5 | pfclust_0.1.0.tar.gz |
52.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | pfclust_0.1.0.tar.gz |
51.9 KiB |
0.1.0 |
latest source/ R- | pfclust_0.1.0.tar.gz |
7.6 KiB |
0.1.0 |
2026-04-23 source/ R- | pfclust_0.1.0.tar.gz |
0 B |