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DCEM  

Clustering Big Data using Expectation Maximization Star (EM*) Algorithm
View on CRAN: Click here


Download and install DCEM package within the R console
Install from CRAN:
install.packages("DCEM")

Install from Github:
library("remotes")
install_github("cran/DCEM")

Install by package version:
library("remotes")
install_version("DCEM", "2.0.5")



Attach the package and use:
library("DCEM")
Maintained by
Sharma Parichit
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-30
Latest Update: 2022-01-16
Description:
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) . Hasan Kurban, Mark Jenne, Mehmet Dalkilic (2016) .
How to cite:
Sharma Parichit (2018). DCEM: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm. R package version 2.0.5, https://cran.r-project.org/web/packages/DCEM. Accessed 05 Aug. 2026.
Previous versions and publish date:
0.0.1 (2018-09-30 16:40), 0.0.2 (2019-04-06 01:02), 1.0.0 (2019-07-24 06:10), 2.0.0 (2019-11-29 10:10), 2.0.1 (2020-02-29 00:40), 2.0.2 (2020-04-07 06:10), 2.0.4 (2020-08-02 08:52), 2.0.5 (2022-01-16 01:02), (2026-07-09 08:01)
Other packages that cited DCEM R package
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Complete documentation for DCEM
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