Package: FPDclustering
Type: Package
Title: PD-Clustering and Related Methods
Version: 2.3.5
Date: 2025-03-05
Authors@R: c(person(given = "Cristina",
                      family = "Tortora",
                      role = c("aut", "cre", "cph"),
                      email = "grikris1@gmail.com"),
               person(given = "Noe",
                      family = "Vidales",
                      role = "aut"),
               person(given = "Francesco",
                      family = "Palumbo",
                      role = "aut"),
               person(given = "Tina",
                      family = "Kalra",
                      role = "aut"),
               person(given = c("Paul", "D."),
                      family = "McNicholas",
                      role = "fnd"))
Maintainer: Cristina Tortora <grikris1@gmail.com>
Description: Probabilistic distance clustering (PD-clustering) is an
        iterative, distribution-free, probabilistic clustering method.
        PD-clustering assigns units to a cluster according to their
        probability of membership under the constraint that the product
        of the probability and the distance of each point to any
        cluster center is a constant. PD-clustering is a flexible
        method that can be used with elliptical clusters, outliers, or
        noisy data. PDQ is an extension of the algorithm for clusters
        of different sizes. GPDC and TPDC use a dissimilarity measure
        based on densities. Factor PD-clustering (FPDC) is a factor
        clustering method that involves a linear transformation of
        variables and a cluster optimizing the PD-clustering criterion.
        It works on high-dimensional data sets.
Depends: ThreeWay,mvtnorm,R (>= 4.1.0)
Imports: ExPosition, cluster,rootSolve, MASS, klaR, GGally, ggplot2,
        ggeasy
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-06-17 11:22:30 UTC; root
Author: Cristina Tortora [aut, cre, cph], Noe Vidales [aut], Francesco
        Palumbo [aut], Tina Kalra [aut], Paul D. McNicholas [fnd]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-03-06 03:40:04 UTC
RemoteUrl: https://github.com/cran/FPDclustering
RemoteRef: HEAD
RemoteSha: e2ad278038fac7dec3e449256171e09686d6b08b