Mixed EM Algorithms and Its Clustering Application

The probability density distribution could be efficiently modeled using Gaussian mixtures.EM is one of popular algorithms for parameters estimation of Gaussian mixture probability density model.However,this method highly depends on initial parameters,and could not estimate the number of model ordens.Annealing-EM algorithms based on genetic algorithm could estimate the number and model parameters and orders,thus could offectively,and avoid the occurrence of singularity in covariancematrix.The simulation results with Matlab indicate that this methods is of excellent clustering ability.