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ppclust

1.1.0.1

Probabilistic and Possibilistic Cluster Analysis

8packages depend
11.4Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Zeynel CebeciFirst published 2017-11-296 releasesCRAN page ↗

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
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 5.9 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
7
Dependencies · direct
Check history
  • NOTE2026-06-09
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
84%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
77%

Downloads

11.4K
CRAN downloads in the past year
Rank #4,477 · ~31/day · ~953/mo
Daily download trend is not available in this view yet.
45930 days
1.8K90 days
11.4K1 year
Compare downloads with other packages →
Also on215 r2u23 autocran1.3K conda_forge

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.3.0
Imports (7)
graphicsgrDevicesinaparcMASSstatsutilsmethods
LinkingTo (0)
none
Enhances (0)
none

Code & Tests

Datasets

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
    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
    2020-02-09 · diff ↗
  • 0.1.3
    2019-07-23 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.2
    2019-01-19 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.1
    2018-01-04 · diff ↗
  • 0.1.0
    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
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ppclust")
Cebeci, Z., Cebeci, C., Kavlak, A. T., Onder, H., & Yildiz, F. (2023). ppclust: Probabilistic and Possibilistic Cluster Analysis (Version 1.1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ppclust

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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