Other packages > Find by keyword >

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]
All associated links for this package
First Published: 2017-11-29
Latest Update: 2023-12-13
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 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:43), 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA