Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
be all sets of observation, set of all latent variable T then we can easily maximize complete data log-likelihood p(X, T | θ). Since after finding log-likelihood we then get to know cluster assignments of points that is why we will find marginal log-likelihood or incomplete data log-likelihood p (X