Bayesian approaches to variable selection in mixture models with application to disease clustering.In biomedical research, cluster analysis is often performed to identify patient subgroups based on patients' characteristics or traits. 
Bayesian approaches
Bayesian approaches to variable selection in mixture models with application to disease clustering.In biomedical research, cluster analysis is often performed to identify patient subgroups based on patients' characteristics or traits.  In the model-based clustering for identifying patient subgroups, mixture models have played a fundamental role in modeling. 
mixture models
Markov chain Monte Carlo algorithms are developed to estimate the posterior distribution of the model parameters. 
Markov chain Monte Carlo algorithms