# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "pfclust" in publications use:' type: software license: MIT title: 'pfclust: Power Fuzzy Clustering and Cluster-Wise Regression' version: 0.1.0 doi: 10.32614/CRAN.package.pfclust abstract: 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) . authors: - family-names: Nguyen given-names: Phuc Thinh email: phucthinh010603@yahoo.com - family-names: Tortora given-names: Cristina email: cristina.tortora@sjsu.edu - family-names: Punzo given-names: Antonio email: antonio.punzo@unict.it repository: https://cran.r-universe.dev commit: 9261df9ff8022e6f470c39f9ce2348b130480282 date-released: '2026-04-28' contact: - family-names: Nguyen given-names: Phuc Thinh email: phucthinh010603@yahoo.com