Journal of the Korean Data and Information Science Society
- 제17권2호
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- Pages.301-309
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- 2006
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- 1598-9402(pISSN)
Improvement on Fuzzy C-Means Using Principal Component Analysis
- Choi, Hang-Suk (Dept. of Mathematics, Hanyang Univ.) ;
- Cha, Kyung-Joon (Dept. of Mathematics, Hanyang Univ.)
- 발행 : 2006.05.30
초록
In this paper, we show the improved fuzzy c-means clustering method. To improve, we use the double clustering as principal component analysis from objects which is located on common region of more than two clusters. In addition we use the degree of membership (probability) of fuzzy c-means which is the advantage. From simulation result, we find some improvement of accuracy in data of the probability 0.7 exterior and interior of overlapped area.