This results in the tendency discussed above to favor clusters consisting of elements of a single dataset.
we define a biased probability distribution, p c (y), to be used by the CD clustering algorithm for characterizing a cluster c. It is designed to call attention to y's that are typical for cluster members in all, or most, different datasets.