Convergence and Optimality of the EM Algorithm Under Multi-Component Gaussian Mixture Models
Two novel analytical approaches are developed, each tailored to a different separation regime, reflecting two complementary perspectives on the use of EM: parameter estimation and clustering, which allow the number of Gaussian components, the minimum mixing weight, the component separation, and the dimension to grow wi...