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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 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>.
Package details |
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| Author | Sharma Parichit [aut, cre, ctb], Kurban Hasan [aut, ctb], Dalkilic Mehmet [aut] |
| Maintainer | Sharma Parichit <parishar@iu.edu> |
| License | GPL-3 |
| Version | 2.0.5 |
| URL | https://github.com/parichit/DCEM |
| Package repository | View on CRAN |
| Installation |
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