Package: pfclust
Type: Package
Title: Power Fuzzy Clustering and Cluster-Wise Regression
Version: 0.1.0
Authors@R: 
    c(person(given = "Phuc Thinh",
             family = "Nguyen",
             role = c("aut", "cre"),
             email = "phucthinh010603@yahoo.com"),
      person(given = "Cristina",
             family = "Tortora",
             role = c("aut", "ths", "dgs"),
             email = "cristina.tortora@sjsu.edu"),
      person(given = "Antonio",
             family = "Punzo",
             role = c("aut", "ths", "dgs"),
             email = "antonio.punzo@unict.it"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
Suggests: flexCWM
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-04-23 21:26:10 UTC; cristina
Author: Phuc Thinh Nguyen [aut, cre],
  Cristina Tortora [aut, ths, dgs],
  Antonio Punzo [aut, ths, dgs]
Maintainer: Phuc Thinh Nguyen <phucthinh010603@yahoo.com>
Repository: CRAN
Date/Publication: 2026-04-28 18:20:02 UTC
