Unsupervised Clustering, Expectation Maximization, Gaussian Mixture Model, K Means Clustering, Tensorflow Probability.
us a natural iterative approach to find the solution to the maximum likelihood problem. The steps are as follows. Randomly initialize all parameters μk’s, Σk’s, and πks. E-step (Expectation Step): Estimate the probabilities γ(znk), by using equation (3). M-step (Maximization Step): Based on the