Concept

Bayesian Information-theoretic Criteria

Bayesian Information-theoretic Criteria, for short BIC, is the widely used equation of selecting number of components of GMM. The equation is : BIC = 2log(L)+klog(n)-2log(L) + klog(n) L is the likelihood. k is the component numbers and n is the sample size.

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Updated 2021-03-28

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Data Science