Clustering seeks to group or to lump together objects or variables that share some observed qualities or, alternatively, to partition or to divide a set of objects or variables into mutually exclusive classes whose boundaries reflect differences in the observed qualities of their members. Clustering thus extracts typologies from data which in turn represent a reduction of data complexity and may lead to conceptual simplifications.