Power Fuzzy Clustering and Cluster-Wise Regression R package pfclust version 0.1.0 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>. Software Depends: R (>= 3.5.0) Imports: stats Suggests: flexCWM Phuc Thinh Nguyen <phucthinh010603@yahoo.com> Comprehensive R Archive Network (CRAN) Phuc Thinh Nguyen [aut, cre], Cristina Tortora [aut, ths, dgs], Antonio Punzo [aut, ths, dgs] MIT + file LICENSE (https://CRAN.R-project.org/package=pfclust/LICENSE) 2026-04-28 application/tgz https://CRAN.R-project.org/package=pfclust doi:10.32614/CRAN.package.pfclust