• About
  • Documentation

  • More Universes
  • Recent Updates
  • Leader board

  • All repositories
  • All packages
  • All articles
  • All datasets
  • All system Libraries
parichit
  • Builds
  • Packages
  • Articles
  • Datasets
  • Contribution
  • Badges
  • API
  • Feed

Links toparichit

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>.

Last updated

cpp

4.48 score 3 stars 7 scripts 516 downloads