Clustering Big Data using Expectation Maximization Star (EM*) Algorithm R package DCEM version 2.0.6 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>. Software 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, spelling Sharma Parichit <parishar@iu.edu> Comprehensive R Archive Network (CRAN) Sharma Parichit [aut, cre, ctb], Kurban Hasan [aut, ctb], Dalkilic Mehmet [aut] GPL-3 2026-04-14 application/tgz https://CRAN.R-project.org/package=DCEM doi:10.32614/CRAN.package.DCEM en-US