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Dealing with real-life databases often implies handling sets of heterogeneous variables. We are proposing in this paper a methodology for exploring and analyzing such databases, with an application in the specific domain of healthcare data analytics. We are thus proposing a twostep heterogeneous finite mixture model, with a first step involving a joint mixture of Gaussian and multinomial distribution to handle numerical (i.e., real and integer numbers) and categorical variables (i.e., discretedoi:10.1109/icdm.2015.70 dblp:conf/icdm/NajjarGR15 fatcat:gq7vigydazeflcinehgmov55qe