DCEM 1.0.0

This is the third stable release of the DCEM package.

Major Features

Implements the EM* algorithm from the ideas published in the Using data to build a better EM: EM* for big data. Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic (2016) https://doi.org/10.1007/s41060-017-0062-1.

The package now supports the EM algorithm and the improved version EM*. The EM* leverages a heap structure to expedite the execution time manifold compared to the conventional EM.

DCEM 0.0.2

This is the second stable release of the DCEM package.

Major Features

Implements the improved initialization schemes (based on the idea published in Kmeans++: The Advantages of Careful Seeding, David Arthur and Sergei Vassilvitskii, http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf.) to expedite convergence on big datasets.

DCEM 0.0.1

This is the first stable release of the DCEM package.

Major Features

Support clustering of both multivariate and univariate data for finite gaussian mixture models.