When we use classification rates to compare two classification procedures, it is instructive to consider the nature of the points that are classified into different groups by the two procedures. Model-based clustering approaches, like the CUU model, facilitate this by way of the a posteriori probabilities of component member- ship ^zig . Specifically, if ^zig 1⁄4 1 then there is certainty, under the fit- ted model, that the ith panelist belongs to the gth component (or cluster). A value ^zig