Unified probabilistic-to-decision framework. A complete theoretical pipeline is established from weighted co-association, through GMM-based probability estimation with ICL model selection, to adaptive ...

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 ...