In PLoS Computational Biology, MIT's Kristen Naegle et al. present "a new computational framework for applying clustering to biological data in order to overcome the typical dependence on specific a priori assumptions and expert knowledge concerning the technical aspects of clustering," which they called the multiple clustering analysis methodology, or MCAM.