Data Science, Machine Learning, Artificial Intelligence, Statistics, Clustering.
consists of updating the parameters (M step) in order to maximize the expected log-likelihood given by equation (15). The E and M steps are repeated until there is no significant progress in the proxy function of the log-likelihood computed after the M step. In summary, it can be described in 4