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>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats |
| Suggests: |
flexCWM |
| Published: |
2026-04-28 |
| DOI: |
10.32614/CRAN.package.pfclust |
| Author: |
Phuc Thinh Nguyen [aut, cre],
Cristina Tortora [aut, ths, dgs],
Antonio Punzo [aut, ths, dgs] |
| Maintainer: |
Phuc Thinh Nguyen <phucthinh010603 at yahoo.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
pfclust results |
Documentation:
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