DISCUSSION OF FCM ALGORITHM WITH PARTIAL SUPERVISION
With the extensive application of fuzzy C-means(FCM) algorithm and a more profound understanding of objects, it has become a hot spot how to take full advantage of a priori knowledge and the combination of FCM algorithm. In this paper, FCM algorithm with partial supervision is preliminarily discussed and its recent applications of these methods are introduced. A new way to deal with a prior is proposed and the performance of FCM algorithm with partial supervision is illustrated by experimental results which indicate that the algorithm is better than the traditional FCM algorithm. Finally, some remarks on the further research and directions of the method are presented.
FCM Algorithm A Priori Knowledge Partial Supervision
GAN Hai-tao TONG Xiao-jun JIANG Qin SANG Nong KONG Xiao-jiang WANG Fang-xiu
Wuhan Polytechnic University Wuhan, Hubei, 430023, China
国际会议
武汉
英文
27-31
2009-10-16（万方平台首次上网日期，不代表论文的发表时间）