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[Discussion] Data transformation before training a GMM

Is it common practice to transform variables before training a mixture model? For example if a variable looks to be log-normal distributed, is there any harm in log-tranforming it before feeding it into a Gaussian Mixture Model? What about other transformations?

And for those of you who work with mixture models, how common is it to do things like this?

Sorry if this is a basic question, no one around me works with this stuff and I wanted to hear from people with experience.

submitted by /u/Minimum_Zucchini
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.