Unsupervised Clustering, Expectation Maximization, Gaussian Mixture Model, K Means Clustering, Tensorflow Probability.
can take on values 1,2,3,…K. We can model this by one-hot categorical distribution where a random variable z is K dimensional and based on cluster-id K any particular z_k is 1 and all other components are zero. For example, if K=5, and we have cluster-id =2, then z = [0,1,0,0,0]. We assume that for