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Clustering Big Data using Expectation Maximization Star (EM*) Algorithm

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4.1Kdownloads / year
–test coverage
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Overview

About

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.

Changes in 2.0.6

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

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • 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
Advisories

none known

Documentation

In release 2.0.6
READMEYes · 399 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 2.0.6Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
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%
Vignettes (1)

Downloads

4.1K
CRAN downloads in the past year
Rank #7,312 · ~11/day · ~338/mo
Daily download trend is not available in this view yet.
41230 days
1.2K90 days
4.1K1 year
Compare downloads with other packages →
Also on369 r2u4 autocran

Repository

3Stars
4Forks
0Open issues
0Open PRs
5Releases
103Commits
2Commit identities
103 commits · Last activity 2026-04-13 · 0% stars, 30d
Responsiveness
How these are sampled
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

2022-01-17 · 32026-07-07 · 3
PracticesBeta

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.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 3.2.0
Imports (4)
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.0.1 (2018), Contributor
Author, Contributor
Listed in earlier versions (1)
Jenne Mark
no longer listed · 0.0.1 to 2.0.4
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2026-04-14
  • 2.0.6Latest
    record
    2026-04-14 · current release · diff ↗
  • archivedRemoved from CRAN
    2026-03-21
    issues were not corrected despite reminders
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 2.0.5
    record
    2022-01-16 · diff ↗ ·
    added 1 export
    dcem_predict
  • R
    R 4.1.0 released · 2021-05-18
  • 2.0.4
    record
    2020-08-02 · diff ↗ ·
    added 2 exports
    dcem_test, meu_uv
  • R
    R 4.0.0 released · 2020-04-24
  • 2.0.2
    record
    2020-04-07 · diff ↗
  • unarchivedReturned to CRAN
    2020-02-29
  • 2.0.1
    record
    2020-02-29 · diff ↗ ·
    added 1 export
    meu_mv
  • archivedRemoved from CRAN
    2019-12-20
    check issues were not corrected in time
Show 6 earlier eventsHide 6 earlier events
  • 2.0.0
    record
    2019-11-29 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 2 exports
    dcem_train, dcem_star_train
  • 1.0.0
    record
    2019-07-24 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.0.2
    record
    2019-04-06 · diff ↗
  • 0.0.1
    record
    2018-09-30
  • R
    R 3.5.0 released · 2018-04-23

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DCEM version 2.0.6 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

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.

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