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ppclust  

Probabilistic and Possibilistic Cluster Analysis
View on CRAN: Click here


Download and install ppclust package within the R console
Install from CRAN:
install.packages("ppclust")

Install from Github:
library("remotes")
install_github("cran/ppclust")

Install by package version:
library("remotes")
install_version("ppclust", "1.1.0.1")



Attach the package and use:
library("ppclust")
Maintained by
Zeynel Cebeci
[Scholar Profile | Author Map]
First Published: 2017-11-29
Latest Update: 2020-02-09
Description:
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) , Possibilistic C-Means (Krishnapuram & Keller, 1993) , Possibilistic Fuzzy C-Means (Pal et al, 2005) , Possibilistic Clustering Algorithm (Yang et al, 2006) , Possibilistic C-Means with Repulsion (Wachs et al, 2006) 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.
How to cite:
Zeynel Cebeci (2017). ppclust: Probabilistic and Possibilistic Cluster Analysis. R package version 1.1.0.1, https://cran.r-project.org/web/packages/ppclust. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.0 (2017-11-29 16:18), 0.1.1 (2018-01-04 15:55), 0.1.2 (2019-01-19 23:40), 0.1.3 (2019-07-23 14:10), 1.1.0 (2020-02-09 11:30)
Other packages that cited ppclust R package
View ppclust citation profile
Other R packages that ppclust depends, imports, suggests or enhances
Complete documentation for ppclust
Functions, R codes and Examples using the ppclust R package
Some associated functions: as.ppclust . comp.omega . crisp . ekm . fcm . fcm2 . fpcm . fpppcm . get.dmetrics . gg . gk . gkpfcm . hcm . is.ppclust . mfpcm . pca . pcm . pcmr . pfcm . plotcluster . ppclust-package . ppclust2 . summary.ppclust . upfc . x12 . x16 . 
Some associated R codes: ekm.R . fcm.R . fcm2.R . fpcm.R . fpppcm.R . gg.R . gk.R . gkpfcm.R . hcm.R . mfpcm.R . pca.R . pcm.R . pcmr.R . pfcm.R . tools.R . upfc.R .  Full ppclust package functions and examples
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