Data Science, Unsupervised Learning, Machine Learning, Gaussian Mixture Model, Coding.
expectation-maximization algorithm (EM). EM alternates between performing an expectation E-step, which computes an expectation of the likelihood by including the latent variables as if they were observed, and a maximization M-step, which computes the maximum likelihood estimates of the parameters