Finite mixture models represent complex data by combining several simple probability distributions, each weighted by a mixing proportion. This framework captures heterogeneity in populations or ...

Model-based clustering for unsupervised learning using finite mixture models has received growing interest for decades. Finite mixture models assume that the data are generated from a mixture of g ...