Em Algorithm, Machine Learning, Algorithms, Expectation Maximization, Maximum Likelihood.
estimate (guess) the values of the missing data. Maximization step (M — step): Complete data generated after the expectation (E) step is used in order to update the parameters. Repeat step 2 and step 3 until convergence. The Expectation-Maximization algorithm is to use the available observed data