Unsupervised Clustering, Expectation Maximization, Gaussian Mixture Model, K Means Clustering, Tensorflow Probability.
P(label = 1) = 0.3, and P(label = 2) = 0.2. And similarly for every data point. In this scenario, it is also easy to calculate parameters analytically without any optimization scheme. What’s different in this scenario from our scenario? Well, we don't have to estimate γ(znk), because of the