Finite mixtures of skewed matrix variate distributions

作者：

Highlights：

• The first use of skewed matrix variate distributions for clustering and for semi-supervised classification.

• The first use of mixtures of skewed matrix variate distributions.

• In addition to component skewness, component concentration (tail weight) is also parameterized.

• Helps lay the foundations for what is sure to be a rich body of work on matrix variate approaches to clustering.

摘要

•The first use of skewed matrix variate distributions for clustering and for semi-supervised classification.•The first use of mixtures of skewed matrix variate distributions.•In addition to component skewness, component concentration (tail weight) is also parameterized.•Helps lay the foundations for what is sure to be a rich body of work on matrix variate approaches to clustering.

论文关键词：Clustering,Matrix variate,Mixture models,Skewed distributions

论文评审过程：Received 9 July 2017, Revised 29 January 2018, Accepted 25 February 2018, Available online 27 February 2018, Version of Record 13 March 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.02.025