Machine Learning, Clustering, Gaussian Mixture Model.
notations. In a probabilistic model, there are visible variables (y), latent variables (z) and associating parameter (θ). The likelihood p(y|θ), which we aim to maximize, measures the probability of the observables (height) given the parameters (group characteristics, such as mean and variance).