Clustering Big Data using Expectation Maximization Star (EM*) Algorithm
Overview
Implements the Improved Expectation Maximisation EM* and the traditional EM algorithm for clustering big data (gaussian mixture models for both multivariate and univariate datasets). This version implements the faster alternative-EM* that expedites convergence via structure based data segregation. The implementation supports both random and K-means++ based initialization. Reference: Parichit Sharma, Hasan Kurban, Mehmet Dalkilic (2022) doi:10.1016/j.softx.2021.100944. Hasan Kurban, Mark Jenne, Mehmet Dalkilic (2016) doi:10.1007/s41060-017-0062-1.
Bug Fixes
- Reformatted NEWS.md to comply with CommonMark and CRAN requirements.
- Incremented version to resolve archival status.
- Fixed CITATION file entries to use modern bibentry() syntax.
- Removed non-standard files from package build (.github, CRAN-RELEASE, cran-comments.md).
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE13 OK, 1 NOTE2026-04-22
- ERROR11 OK, 1 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 28includes a package overview page
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 93%
- Return-value docs
- 83%
- Help pages citing references
- 39%
- DCEM HTML
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 0
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
Releases over time
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/parichit/dcem on 2026-10-21.
Dependencies
Installing DCEM adds 3 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, mvtnorm 1.0 MB, matrixcalc 30 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- unarchivedReturned to CRAN2026-04-14
- 2.0.6Latest
- archivedRemoved from CRAN2026-03-21issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 2.0.5
- RR 4.1.0 released · 2021-05-18
- 2.0.4
- RR 4.0.0 released · 2020-04-24
- 2.0.22020-04-07 · diff ↗
- unarchivedReturned to CRAN2020-02-29
- 2.0.1
- archivedRemoved from CRAN2019-12-20check issues were not corrected in time
Package metadata
- First published
- 2018-09-30
- Total releases
- 9 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.2.0
- Bundled data
- 24 KB / 1 file
- Download size
- 63 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("DCEM")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
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.