# A Mixture of SDB Skew-t Factor Analyzers

arXiv: https://arxiv.org/abs/1310.6224 · HTML: https://mlsanity.com/paper/1310.6224/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Oct 2013.

## Built on by (most cited first, 1 of 1)

- [Vine copula mixture models and clustering for non-Gaussian data](https://mlsanity.com/paper/2102.03257/) (2021)

## Abstract (arXiv)

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.