Model-Based Clustering and Classification with Mixtures of
Modified t Factor Analyzers
Description
Fits a family of mixtures of multivariate t-distributions under a continuous t-distributed latent variable structure for the purpose of clustering or classification. The alternating expectation-conditional maximization algorithm is used for parameter estimation.