1. A method for updating a probabilistic clustering system defined at least in part by probabilistic model parameters indicative of word counts, ratios, or frequencies characterizing classes of the clustering system, the method comprising: changing an association of one or more documents from one or more source classes to one or more destination classes; and locally updating probabilistic model parameters characterizing classes affected by the changed association without updating probabilistic model parameters characterizing classes not affected by the changed association.