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 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.

Package details

AuthorSharma Parichit [aut, cre, ctb], Kurban Hasan [aut, ctb], Jenne Mark [aut, ctb], Dalkilic Mehmet [aut]
MaintainerSharma Parichit <parishar@iu.edu>
LicenseGPL-3
Version2.0.4
URL https://github.com/parichit/DCEM
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("DCEM")

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DCEM documentation built on Aug. 2, 2020, 9:07 a.m.