Package: DCEM
Type: Package
Title: Clustering Big Data using Expectation Maximization Star (EM*)
        Algorithm
Version: 2.0.4
Authors@R: c(
    person("Sharma", "Parichit", email = "parishar@iu.edu", role = c("aut","cre", "ctb")),
    person("Kurban", "Hasan", role = c("aut","ctb")),
    person("Jenne", "Mark", role = c("aut","ctb")),
    person("Dalkilic", "Mehmet", role = "aut")) 
Maintainer: Sharma Parichit <parishar@iu.edu>
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 avoids revisiting data by leveraging the heap structure. 
    The implementation supports both random and K-means++ based initialization. Reference: Hasan Kurban, Mark Jenne, 
    Mehmet M. Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>. This work is partially supported by 
    NCI Grant 1R01CA213466-01.
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: 7.1.0
Depends: R(>= 3.2.0)
URL: https://github.com/parichit/DCEM
BugReports: https://github.com/parichit/DCEM/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-08-02 06:19:50 UTC; schmuck
Author: Sharma Parichit [aut, cre, ctb],
  Kurban Hasan [aut, ctb],
  Jenne Mark [aut, ctb],
  Dalkilic Mehmet [aut]
Repository: CRAN
Date/Publication: 2020-08-02 06:52:06 UTC
