Machine Learning, Data Science, Statistics, Probability, Editors Pick.
three main steps: the initialization step, the expectation step (E-step), and the maximization step (M-step). In the first step, the statistical model parameters θ are initialized randomly or by using a k-means approach. After initialization, the EM algorithm iterates between the E and M steps