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: 2025-03-06 03:15:00 UTC; 011543324
Repository: CRAN
Date/Publication: 2025-03-06 03:40:04 UTC
Author: Cristina Tortora [aut, cre, cph],
  Noe Vidales [aut],
  Francesco Palumbo [aut],
  Tina Kalra [aut],
  Paul D. McNicholas [fnd]
Built: R 4.5.3; ; 2026-03-18 06:13:29 UTC; windows
