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