PD-Clustering and Related Methods
Overview
Probabilistic distance clustering (PD-clustering) is an iterative, distribution-free, probabilistic clustering method. PD-clustering assigns units to a cluster according to their probability of membership under the constraint that the product of the probability and the distance of each point to any cluster center is a constant. PD-clustering is a flexible method that can be used with elliptical clusters, outliers, or noisy data. PDQ is an extension of the algorithm for clusters of different sizes. GPDC and TPDC use a dissimilarity measure based on densities. Factor PD-clustering (FPDC) is a factor clustering method that involves a linear transformation of variables and a cluster optimizing the PD-clustering criterion. It works on high-dimensional data sets.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
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- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 17
- Examples that run
- 71%10 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 59%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 2.3.6Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 2.3.52025-03-06 · diff ↗
- unarchivedReturned to CRAN2025-02-13
- 2.3.42025-02-13 · diff ↗
- archivedRemoved from CRAN2025-02-11issues were not corrected in time
- 2.3.32025-01-28 · diff ↗
- 2.3.22024-12-12 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 2.3.12024-01-30 · diff ↗
- 2.32024-01-25 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 2.22022-08-31 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 2.12022-02-02 · diff ↗
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- 2.0
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- unarchivedReturned to CRAN2020-01-28
- 1.4.12020-01-28 · diff ↗
- archivedRemoved from CRAN2020-01-26suggests archived package 'DAAG' but does not use it conditionally
- 1.4
- 1.3.12019-08-22 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.3
- RR 3.5.0 released · 2018-04-23
- 1.22017-08-23 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 1.12016-05-18 · diff ↗
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.02014-12-17
- RR 3.1.0 released · 2014-04-10
Package metadata
- First published
- 2014-12-17
- Total releases
- 17 / 12 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 1.9 MB / 8 files
- Download size
- 1.9 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("FPDclustering")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1007/s00180-024-01490-5.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.