Diverse Cluster Ensemble in R
Overview
Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) doi:10.1186/s12859-017-1996-y. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.
- Reinstate
mixedClustfor block clustering now that it is back on CRAN andblockclusterhas been archived
From NEWS.md in the release
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
Show 4 earlier changesHide 4 earlier changes
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 24 (1 internal)includes a package overview page
- Examples that run
- 100%22 run in a plain check (5 of them under a condition)
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 33%
Downloads
Repository
- PRs merged (all time)
- 87%
- Median days to close, 50 most recently updated closed issues
- 20
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Commits over time
11 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/alinetalhouk/dicer on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-08-31
pkgdown site last built 2026-08-24, before release 3.2.0 (2026-08-25)
Show all practicesHide 2 practices
Dependencies
Installing diceR adds 94 packages (48 with compiled code, 68 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 3.2.0Latest
- 3.1.02025-06-19 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 3.0.02025-02-05 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 2.2.02024-01-22 · diff ↗
- 2.1.02023-09-29 · diff ↗
- RR 4.3.0 released · 2023-04-21
- unarchivedReturned to CRAN2023-03-11
- archivedRemoved from CRAN2023-03-11requires archived package 'clusterCrit'
- 2.0.02023-03-11 · diff ↗
- 1.2.22022-09-29 · diff ↗
- 1.2.12022-08-17 · diff ↗
- unarchivedReturned to CRAN2022-05-13
- 1.2.02022-05-13 · diff ↗
Show 27 earlier eventsHide 27 earlier events
- archivedRemoved from CRAN2022-05-09check issues were not corrected in time
- RR 4.2.0 released · 2022-04-22
- 1.1.02021-07-23 · diff ↗
- 1.0.42021-06-04 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.0.32021-04-17 · diff ↗
- 1.0.22021-03-19 · diff ↗
- 1.0.12021-01-31 · diff ↗
- unarchivedReturned to CRAN2020-07-08
- 1.0.02020-07-08 · diff ↗
- archivedRemoved from CRAN2020-06-15check problems were not corrected in time
- RR 4.0.0 released · 2020-04-24
- 0.6.0
- RR 3.6.0 released · 2019-04-26
- 0.5.22019-03-08 · diff ↗
- 0.5.12018-06-11 · diff ↗
- unarchivedReturned to CRAN2018-05-05
- 0.5.02018-05-05 · diff ↗
- archivedRemoved from CRAN2018-05-03depends on archived package 'NNLM'
- RR 3.5.0 released · 2018-04-23
- 0.4.02018-02-23 · diff ↗
- 0.3.22018-01-14 · diff ↗
- 0.3.12017-12-12 · diff ↗
- 0.3.02017-11-29 · diff ↗
- 0.2.02017-09-30 · diff ↗
- 0.1.02017-06-22
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-06-22
- Total releases
- 25 / 9 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1
- Bundled data
- 613 KB / 1 file
- Download size
- 779 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("diceR")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.