global optimization algorithms

Global Optimization of Gaussian Mixture Models

This project provides a group of new algorithms designed to deliver globally optimal solutions for Gaussian mixture models. The Expectation-Maximization algorithm is definitely a popular and straightforward way for the estimation of Gaussian mixture models along with its natural extension, model-based clustering. Having said that, although the algorithm is not hard to use and numerically it is very stable but it provides solutions which are locally optimal.

Project Reports, Final Year Projects for Students, Case Studies, Dissertation Ideas, Thesis Topics, Project Sample Downloads