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ISOETRP—an interactive clustering algorithm with new objectives
Authors:C.Y. Suen  Q.R. Wang
Affiliation:Department of Computer Science, Concordia University, 1455 de Maisonneuve Blvd., West Montreal, Quebec H3G 1M8, Canada
Abstract:A new clustering algorithm ISOETRP has been introduced which has new objectives particularly suitable for hierarchical pattern classification. These objectives are: (a) minimizing overlap between pattern class groups; (b) minimizing entropy; (c) keeping balance between these groups. An interactive version of ISOETRP was implemented which gave much better results than some other existing algorithms.
Keywords:ISOETRP  New clustering algorithm  Tree classifier  Tree balance  Cluster overlaps
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