Machine Learning, Data Science, Statistics, Probability, Editors Pick.
expectation-maximization (EM) algorithm is to compute a latent representation of the data which captures useful, underlying features of the data. Using a probabilistic approach, the EM algorithm computes “soft” or probabilistic latent space representations of the data. For example, in Figure 1.