The parameters of Gauss mixture model estimation method has a lot of methods, such as the maximum likelihood function of EM algorithm, but the algorithm is prone to overfitting, so this paper proposes a variational EM algorithm to estimate the parameters, can avoid the shortcomings of the EM algorithm in the. The following example file illustrates the use of the following sample file Examplevbem, VBEM, M sample files Faithful.txt data set as an example

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