Distinct Clustering techniques make various assumptions on the composition from the data, typically described by some similarity metric and evaluated, for instance, by internal compactness, or even the similarity involving members of the same cluster, and separation, the distinction between clusters. Other procedures are based upon believed density and graph http://www.logosnlife.org/board_NXjP71/662747