Unsupervised Clustering, Expectation Maximization, Gaussian Mixture Model, K Means Clustering, Tensorflow Probability.
estimate parameters of gaussian. And we will have the solution of equation 1 or 2. This was the example where we have hard labels for each point, we can have situation where we are given probabilities of labels given a particular data point, for example for x1 we may be given P(label = 0) = 0.5,