Computer Science ›› 2013, Vol. 40 ›› Issue (Z11): 77-81.

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Covariance Based Learning Algorithm for Gaussian Mixture Model

LIAO Xiao-feng,FAN Xiu-bin and JIANG Qing-shan   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Expectation maximization is commonly used for parameter estimation in Gaussian mixture model.This paper presented a machine learning algorithm based on covariance(CVB) for solving the Gaussian mixture model with the specific constrain that covariance is already known.Experiments show that the CVB algorithm has better performance than the EM algorithm with regard to the specific constraint.

Key words: Gaussian mixture model, Expectation maximization,Covariance based,CVB algorithm

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