Clustering analytical means of Data Mining is combined with Intrusion Detection System and an intellectual structure pattern used in Intrusion Detection Syst.
将数据挖掘的聚类分析方法与入侵检测系统相结合，提出了一种入侵检测系统的智能结构模型。
An efficient segmentation method based upon fuzzy c-means (FCM) clustering principles is proposed. The approach utilizes a pyramid data structure for the hierarchical ana - lysis of color images.
这里提出了一种高效的基于模糊c均值(FCM)聚类的彩色图像分割方法，它利用塔形数据结构对彩色图像进行多层分割。
This clustering algorithm can on-line partition the input data, pointwise update the clusters, and self-organize the fuzzy neural structure.
此聚类算法可以在线地划分输入数据，逐点地更新聚类，自己组织模糊神经网络的结构。
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