Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
refers to the second mixture component which means t = (0, 1, 0) if there are C=3 components in total. The marginal distribution p (x | θ) is obtained by summing over all possible states of t. For each observation xi we have one latent variable ti, which is also called responsibility. Considering X