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커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 대한전자공학회 ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications ITC-CSCC 2015
- 발행연도
- 2015.6
- 수록면
- 827 - 830 (4page)
이용수
초록· 키워드
오류제보하기
Fuzzy c-means method is a typical soft clustering, and needs to give the degree of membership that indicates the degree of belonging to each cluster at the time of the clustering execution. The parameter values greater than 1 less than 2 have been used conventionally. According to the proposed data generation scheme and the simulation results, some behavior of the fuzzy degree was derived.
목차
Abstract
1. Introduction
2. Fuzzy c-means method
3. Approach to find properties of degree of membership
4. Evaluation Experiments
5. Application to motor car type classification
6. Conclusions
References
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