Before revision:  In detail, we propose two na\"ive classification methods, obtained as a by--product of the model estimation, which provide very similar results to those coming from a classical k--means clustering procedure.
After revision:  In detail, we propose two smoothed probability--based classification methods, obtained as a by--product of the model estimation, which provide very similar results to those coming from a classical k--means clustering procedure.