The article introduces a new way to group data called matrix variate skew-t distribution. It focuses on finding patterns in data by using mixtures of skewed matrix variate distributions. The researchers tested four different mixtures and developed a method to estimate the parameters needed for this analysis. They applied this method to both simulated and real data to show how it works in practice.