Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1996.07b
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- Pages.1371-1373
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- 1996
Dynamic GBFCM(Gradient Based FCM) Algorithm
동적 GBFCM(Gradient Based FCM) 알고리즘
- Kim, Myoung-Ho (Myongji Univ. Electrical Eng.) ;
- Park, Dong-C. (Myongji Univ. Control & Instru. Eng.)
- Published : 1996.07.22
Abstract
A clustering algorithms with dynamic adjustment of learning rate for GBFCM(Gradient Based FCM) is proposed in this paper. This algorithm combines two idea of dynamic K-means algorithms and GBFCM : learning rate variation with entropy concept and continuous membership grade. To evaluate dynamic GBFCM, we made comparisons with Kohonen's Self-Organizing Map over several tutorial examples and image compression. The results show that DGBFCM(Dynamic GBFCM) gives superior performance over Kohonen's algorithm in terms of signal-to-noise.
Keywords