Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
C Gaussian components in this example C = 3 is πc and Σc are the weight, mean vector and covariance matrix of mixture component Cc, respectively. The weights are non-negative and sum up to 1 i.e. Parameter vector denotes the set of all model parameters. If we introduce a discrete latent variable