Data Science, Machine Learning, Artificial Intelligence, Statistics, Clustering.
algorithm. The EM algorithm has that name because it consists of an iterative process that alternates between two steps. The first step is to compute the responsibilities (E step) of each mixture component for each data point using the current parameters (μ’s, Σ’s, and π’s). The second step