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I have a Mixture of Gaussians to model an arbitrary distribution. I would like to model a distribution derived from this GMM with:

Mean = Weighted average mean of GMM means.

I am not sure about how to combine the co variances of each clusters into one. Is there a standard way for doing this?

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Could it be that what you're looking for is the law of total covariance?

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