Em Algorithm, Machine Learning, Algorithms, Expectation Maximization, Maximum Likelihood.
M-step. In this step, we use the complete data generated in the preceding “Expectation” — step in order to update the values of the parameters. It is basically used to update the hypothesis. Converging Review: it is checked whether the values are converging, if yes, then stop otherwise repeat