Here I collect pieces of information and "vocabulary" that at some point seemed important.
In statistics, a probability mixture model is a probability distribution that is a convex combination of other probability distributions.
--> Gaussian mixture model: mixture of Gaussians with different means and/or variancesA mixture model can be regarded as a type of unsupervised learning or clustering. Mixture models should not be confused with models for compositional data, i.e., data whose components are constrained to sum to a constant value (1, 100%, etc.).
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