Data Science, Machine Learning, Artificial Intelligence, Statistics, Clustering.
The EM algorithm is very sensitive to initialization. What some people recommend is to run K-Means (because it has a lower computational cost) and use the output centers as the initialization means of the mixture components. By doing that, you substantially accelerate the convergence of the EM