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ppclust

1.1.0.1Package record

Probabilistic and Possibilistic Cluster Analysis

4packages dependsuggested by 4
9.4Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Zeynel Cebeci <zcebeci@cukurova.edu.tr>’

Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 3.7 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-09
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
  • NOTE9 OK, 5 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.0.1
READMENoVignettesYes · 2 · dynamicNEWSYes · does not mention 1.1.0.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
26includes a package overview page
Examples that run
84%21 run in a plain check · 4 never run
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
77%

Downloads

9.4K
CRAN downloads in the past year
Rank #4,363 · ~26/day · ~784/mo
Daily download trend is not available in this view yet.
57830 days
2K90 days
9.4K1 year
Compare downloads with other packages →
Also on167 r2u7 autocran1.1K conda_forge

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing ppclust adds 4 packages (2 with compiled code, 2.1 MB of source tarballs). Heaviest: Rcpp 1.8 MB, lhs 238 KB, inaparc 30 KB.

Depends (1)
R >= 3.3.0
Imports (7)
graphicsgrDevicesinaparcMASSstatsutilsmethods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
4direct
0indirect
Imports 4
Suggested by 4
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (5)
Author, Maintainer since 0.1.0 (2017)
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0.1Latest
    record
    2023-12-13 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.1.0
    record
    2020-02-09 · diff ↗
  • 0.1.3
    record
    2019-07-23 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.2
    record
    2019-01-19 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.1
    record
    2018-01-04 · diff ↗
  • 0.1.0
    record
    2017-11-29
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-11-29
Total releases
6 / 9 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.3.0
Bundled data
0.4 KB / 3 files
Download size
3.7 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("ppclust")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.17700/jai.2019.10.2.537.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ppclust version 1.1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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