Subsequent works (Tishby et al., 1999;Gedeon et al., 2003) have studied and motivated further the earlier distributional clustering method.
it can be shown that the algorithm of Figure  1 locally minimizes the following cost function: where H denotes entropy 1 and X, Y and C are formal variables whose values range over all data elements, features and clusters, respectively.