Mixtures of Hidden Truncation Hyperbolic Factor Analyzers
Abstract
The mixture of factor analyzers model was first introduced over 20 years ago
and, in the meantime, has been extended to several non-Gaussian analogues. In
general, these analogues account for situations with heavy tailed and/or skewed
clusters. An approach is introduced that unifies many of these approaches into
one very general model: the mixture of hidden truncation hyperbolic factor
analyzers (MHTHFA) model. In the process of doing this, a hidden truncation
hyperbolic factor analysis model is also introduced. The MHTHFA model is
illustrated for clustering as well as semi-supervised classification using two
real datasets.