Em Algorithm, Machine Learning, Algorithms, Expectation Maximization, Maximum Likelihood.
step-2 and step-3 until the convergence occurred. Usage of EM algorithm Useful to fill the missing data in a sample. Used as the basis of the unsupervised learning of clusters. It can be used for the purpose of estimating the parameters of the Hidden Markov Model (HMM) or similar. It can be used