Bagging and Boosting-Based Convexly Combined Multivariate Mixture Models: Models Better Than EM-Based Mixture Models

Bagging and Boosting Based Convexly Combined Mixture Multivariate Probabilistic Models have been developed. These Models are more optimum than EM algorithm-based Mixture Models. Examples are cited to show the better performance of the Bagging and Boosting based mixture models over EM based mixture models. Some Bayesian properties of these mixture models are also given. Bagging and Boosting Based Convexly Combined Mixture Univariate Probabilistic Models have also been developed.