ISOETRP—an interactive clustering algorithm with new objectives

摘要

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.