한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)
- 한국퍼지및지능시스템학회 2000년도 춘계학술대회 학술발표 논문집
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- Pages.94-97
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- 2000
밀도 함수를 이용한 근사적 퍼지 클러스터링
Approximate fuzzy clustering based on a density function
초록
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.
키워드