Unsupervised Clustering, Expectation Maximization, Gaussian Mixture Model, K Means Clustering, Tensorflow Probability.
(Gaussian Mixture Model). GMM is a density (probability distribution of data) estimation method. It maximizes the likelihood of data assuming a certain number of gaussian distributions with different means and covariance matrices. GMM can be used for generative unsupervised learning or clustering.