I know that there are several methods (Elbow method, silhouette analysis etc) which can help me to find the best number of clusters.
My questions are:
What are the best methods to use in Expectation Maximization (EM) Algorithm?
Can I use elbow method (as if it were for K-means algorithm) to get the "best" number of clusters, but to use in EM Algorithm?
Thanks in advance.