A finite mixture model for the clustering of mixed-mode data

This paper presents a finite mixture density which might be a potentially useful model for the clustering of mixed mode data. A simplex algorithm is used to obtain maximum likelihood estimates and several small scale numerical examples indicate that its performance is relatively satisfactory.