Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지

Advanced Mountain Clustering Method

개선된 산 클러스터링 방법

  • 이중우 (영남대학교 공과대학 전자정보공학부) ;
  • 권순학 (영남대학교 공과대학 전자정보공학부) ;
  • 손세호 (영남대학교 공과대학 전자정보공학부)
  • Published : 2000.11.01
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Abstract

We introduce an advanced mountain clustering method which uses a normalized data space, a gaussian type mountain function and a deconstruction method using mountain slope. This is more useful than Yagers mountain method because it needs just one parameter to tune instead of three and finds out more resonable cluster centers. Computational examples are presented to show the validity of the advanced mountain method.

Keywords