Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
variables very well. The expectation-maximization algorithm is one method by which can find appropriate model parameters in the presence of latent variables. EM is an iterative method to find maximum likelihood or maximum a posteriori estimates of parameters, where the model depends on unobserved