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DESCRIPTION
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DESCRIPTION
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Package: DCEM
Type: Package
Title: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm
Version: 2.0.5
Authors@R: c(
person("Sharma", "Parichit", email = "[email protected]", role = c("aut","cre", "ctb")),
person("Kurban", "Hasan", role = c("aut","ctb")),
person("Dalkilic", "Mehmet", role = "aut"))
Maintainer: Sharma Parichit <[email protected]>
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) <doi:10.1016/j.softx.2021.100944>. Hasan Kurban,
Mark Jenne, Mehmet Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports:
mvtnorm (>= 1.0.7),
matrixcalc (>= 1.0.3),
MASS (>= 7.3.49),
Rcpp (>= 1.0.2)
LinkingTo: Rcpp
RoxygenNote: 7.1.2
Depends: R(>= 3.2.0)
URL: https://github.com/parichit/DCEM
BugReports: https://github.com/parichit/DCEM/issues
Suggests:
knitr,
rmarkdown
VignetteBuilder: knitr