说明：  ISODAT模糊聚类虽然能够对数据聚类挖掘，但是由于网络入侵特征数据维数较多，不同入侵类别间的数据差别较小，不少入侵模式不能被准确分类。本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类.rar
(Although capable of clustering data clustering mining, but due to network intrusion feature data dimension of more and different types of data between invading small differences, many intrusion patterns can not be accurately classified. This case uses combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification. Rar)