Data Science, Unsupervised Learning, Machine Learning, Gaussian Mixture Model, Coding.
optimum only. It cannot discover K (likelihood keeps growing with number of clusters) It takes both forward and backward probabilities into account. This thing is in contrast to that of numerical optimization which considers only forward probabilities. References: Expectation Maximization: how it