Em Algorithm, Machine Learning, Data Mining, Jensens Inequality, Bayes Theorem.
mixture models as shown in Figure 1. Its objective is to maximize the likelihood p(X|θ) where X is a matrix of observed data and θ is a vector of model parameters. This is maximum likelihood estimation and in practice the log-likelihood ln p(X| θ ) is maximized. The model parameters that maximize