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ddc

1.0.1

Distance Density Clustering Algorithm

0packages depend
2.2Kdownloads / year
0.0%test coverage
13/13checks pass

Overview

About
Maintained by Ruizhe MaFirst published 2022-12-141 releasesCRAN page ↗

A distance density clustering (DDC) algorithm in R. DDC uses dynamic time warping (DTW) to compute a similarity matrix, based on which cluster centers and cluster assignments are found. DDC inherits dynamic time warping (DTW) arguments and constraints. The cluster centers are centroid points that are calculated using the DTW Barycenter Averaging (DBA) algorithm. The clustering process is divisive. At each iteration, cluster centers are updated and data is reassigned to cluster centers. Early stopping is possible. The output includes cluster centers and clustering assignment, as described in the paper (Ma et al (2017) doi:10.1109/ICDMW.2017.11).

Install

Health

CRAN checks
13OK
Slowest check: 1.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.12
0.0%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #17,741 · ~6/day · ~181/mo
Daily download trend is not available in this view yet.
15830 days
60890 days
2.2K1 year
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Also on395 r2u15 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.2
Imports (5)
dtwdtwclustparallelmagrittrutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Maintainer, Author
Authors (2)
Maintainer, Author
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2022-12-14
Total releases
1 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.2
Download size
104 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ddc")
Ma, R., & Jiang, B. (2022). ddc: Distance Density Clustering Algorithm (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ddc

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 ddc version 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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