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Date: (13-05-09) Pages: () |
Abstract: The paper contains description of a new clustering methodology that partitions data set into clusters, such that regression indetermination coefficient for data from each cluster is minimized. A clustering algorithm that realizes this methodology with genetic programming approaches, as well as, some experimental results are presented. The application of the algorithm for planning cellular telephone networks is discussed.