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

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>.

Version: 2.0.5
Depends: R (≥ 3.2.0)
Imports: mvtnorm (≥ 1.0.7), matrixcalc (≥ 1.0.3), MASS (≥ 7.3.49), Rcpp (≥ 1.0.2)
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
Published: 2022-01-16
DOI: 10.32614/CRAN.package.DCEM
Author: Sharma Parichit [aut, cre, ctb], Kurban Hasan [aut, ctb], Dalkilic Mehmet [aut]
Maintainer: Sharma Parichit <parishar at iu.edu>
BugReports: https://github.com/parichit/DCEM/issues
License: GPL-3
URL: https://github.com/parichit/DCEM
NeedsCompilation: yes
Citation: DCEM citation info
Materials: README NEWS
CRAN checks: DCEM results

Documentation:

Reference manual: DCEM.pdf
Vignettes: DCEM

Downloads:

Package source: DCEM_2.0.5.tar.gz
Windows binaries: r-devel: DCEM_2.0.5.zip, r-release: DCEM_2.0.5.zip, r-oldrel: DCEM_2.0.5.zip
macOS binaries: r-release (arm64): DCEM_2.0.5.tgz, r-oldrel (arm64): DCEM_2.0.5.tgz, r-release (x86_64): DCEM_2.0.5.tgz, r-oldrel (x86_64): DCEM_2.0.5.tgz
Old sources: DCEM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DCEM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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