Gaussian Distribution
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Expectation maximization
machine learning
expectation maximization
k-means clustering
gaussian distribution
multivariate gaussian distribution
Expectation maximization is a method of finding maximum likelihood estimates of parameters of a model.
The method alternates between making an expectation (E) step based on the current estimate of
the parameters and a maximization (M) step which computes new parameters.
