Unsupervised Clustering, Expectation Maximization, Gaussian Mixture Model, K Means Clustering, Tensorflow Probability.
estimated values of γ(znk), estimate parameters μk’s, Σk’s, and πks to maximize the likelihood. In doing so, we first re-evaluate the means given by equation (6) and use the new values of μk’s to estimate values of Σk’s. Repeat steps 2 and 3 until convergence is reached. The parameters learned in