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

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Approximate fuzzy clustering based on a density function

밀도 함수를 이용한 근사적 퍼지 클러스터링

  • 손세호 (영남대학교 공과대학 전자정보공학부) ;
  • 권순학 (영남대학교 공과대학 전자정보공학부) ;
  • 최윤혁 (영남대학교 공과대학 전자정보공학부)
  • Published : 2000.05.01
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Abstract

We introduce an approximate fuzzy clustering method, which is simple but computationally efficient, based on density functions in this paper. The density functions are defined by the number of data within the predetermined interval. Numerical examples are presented to show the validity of the proposed clustering method.

Keywords