A mixture model for skewed mixed-type data

Many approaches exist for clustering categorical or continuous data. However, there are few options for mixed-type data, especially when the clusters exhibit skewness and/or heavy tails in the continuous variables. A model-based clustering approach is proposed to help address this gap.