Cluster identification based on correlations.
The problem addressed is the identification of cooperating agents based on correlations created as a result of the joint action of these and other agents. A systematic method for using correlations beyond second moments is developed. The technique is applied to a didactic example, the identification of alphabet letters based on correlations among the pixels used in an image of the letter. As in this example, agents can belong to more than one cluster. Moreover, the identification scheme does not require that the patterns be known ahead of time.
Physics Department, Clarkson University, Potsdam, New York 13699-5820, USA. schulman@clarkson.edu
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D003102:Colloids / Q000737:chemistry*; D003198:Computer Simulation; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008956:Models, Chemical; D008958:Models, Molecular
D003102:Colloids