Package: ppclust 1.1.0.1

Zeynel Cebeci

ppclust: Probabilistic and Possibilistic Cluster Analysis

Partitioning clustering divides the objects in a data set into non-overlapping subsets or clusters by using the prototype-based probabilistic and possibilistic clustering algorithms. This package covers a set of the functions for Fuzzy C-Means (Bezdek, 1974) <doi:10.1080/01969727308546047>, Possibilistic C-Means (Krishnapuram & Keller, 1993) <doi:10.1109/91.227387>, Possibilistic Fuzzy C-Means (Pal et al, 2005) <doi:10.1109/TFUZZ.2004.840099>, Possibilistic Clustering Algorithm (Yang et al, 2006) <doi:10.1016/j.patcog.2005.07.005>, Possibilistic C-Means with Repulsion (Wachs et al, 2006) <doi:10.1007/3-540-31662-0_6> and the other variants of hard and soft clustering algorithms. The cluster prototypes and membership matrices required by these partitioning algorithms are initialized with different initialization techniques that are available in the package 'inaparc'. As the distance metrics, not only the Euclidean distance but also a set of the commonly used distance metrics are available to use with some of the algorithms in the package.

Authors:Zeynel Cebeci [aut, cre], Figen Yildiz [aut], Alper Tuna Kavlak [aut], Cagatay Cebeci [aut], Hasan Onder [aut]

ppclust_1.1.0.1.tar.gz
ppclust_1.1.0.1.tar.gz(r-4.5-noble)ppclust_1.1.0.1.tar.gz(r-4.4-noble)
ppclust_1.1.0.1.tgz(r-4.4-emscripten)ppclust_1.1.0.1.tgz(r-4.3-emscripten)
ppclust.pdf |ppclust.html
ppclust/json (API)
NEWS

# Install 'ppclust' in R:
install.packages('ppclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • x12 - Synthetic data set of two variables
  • x16 - Synthetic data set of two variables forming two clusters

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.93 score 1 stars 4 packages 117 scripts 557 downloads 3 mentions 23 exports 5 dependencies

Last updated 1 years agofrom:7c8a9eb30a. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 08 2024
R-4.5-linuxOKDec 08 2024

Exports:as.ppclustcomp.omegacrispekmfcmfcm2fpcmfpppcmget.dmetricsgggkgkpfcmhcmis.ppclustmfpcmpcapcmpcmrpfcmplotclusterppclust2summary.ppclustupfc

Dependencies:inaparckpeakslhsMASSRcpp

Partitioning Cluster Analysis Using Fuzzy C-Means

Rendered fromfcm.Rmdusingknitr::rmarkdownon Dec 08 2024.

Last update: 2020-02-09
Started: 2017-11-29

Unsupervised Possibilistic Fuzzy C-Means Algorithm

Rendered fromupfc.Rmdusingknitr::rmarkdownon Dec 08 2024.

Last update: 2020-02-09
Started: 2017-11-29