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Predicting values using a Gaussian Mixture Regression Model

Asked by Joaquim on 13 Mar 2017
Hello everybody, I'm trying to predict values using the parameters acquired from a Gaussian Mixture Regression model. I used the toolbox available in the file exchange (
My input data is a matrix A with size 2*1500. A(1,:) represents the independent variable and A(2,:) the dependent variable. The algorithm starts to calculate the means and the covariance using a EM algorithm.
Then, after performing the Guassian mixture regression, I obtain as a output an array M (referring ot the expected means) and C, representing the covariance matrices.
My question is how can I apply the parameteres of the regression, to predict values form another dataset.
Thanks in advance, Joaquim


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