Ａｐｐｌｉｃａｔｉｏｎ ｏｆ ａ Ｎｅｗ Ｆｕｚｚｙ Ｃｌｕｓｔｅｒｉｎｇ Ａｌｇｏｒｉｔｈｍ ｉｎ Ｉｎｔｒｕｓｉｏｎ Ｄｅｔｅｃｔｉｏｎ

Abstract:This paper presents a new Section Set Adaptive FCM algorithm. The algorithm solved the shortcomings of localoptimality， unsure classification and clustering numbers ascertained previously. And it improved on the architecture of FCM algorithm，enhanced the analysis for effective clustering. During the clustering processing， it may adjust clustering numbers dynamically. Finally， it used the method of section set decreasing the time of classification. By experiments， the algorithm can improve dependability of clustering and correctness of classification.

Keywords: Fuzzy clustering; Clustering Numbers; Section Set Adaptive Algorithm； Network Security

CLC; Reference Identification: B No: 1004-373X(2008) 04-100-03

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