Machine Learning, Clustering, Expectation Maximization, Gaussian Mixture Model, Image Clustering.
bit tricky. Remember the k-mean algorithm. We use the output of these algorithms to initialize our EM mean parameter. Since by using the k-mean algorithm we push mean co-ordinate to reach the near point of convergence. So if we start from this point EM algorithm will take less time to converge. But