Mixtures of skew-t distributions offer a flexible choice for model-based
clustering. A mixture model of this sort can be implemented using a variety of
formulations of the skew-t distribution. Herein we develop a mixture of skew-t
factor analyzers model for clustering of high-dimensional data using a flexible
formulation of the skew-t distribution. Methodological details of our approach,
which represents an extension of the mixture of factor analyzers model to a
flexible skew-t distribution, are outlined and details of parameter estimation
are provided. Clustering results are illustrated and compared to an alternative
formulation of the mixture of skew-t factor analyzers model as well as the
mixture of factor analyzers model.