In this algorithm, principal component analysis is employed before hand to remove the relevance between various parameters, following by immune clustering algorithm to eliminate similar samples.
PCA-IC算法先用基于主元分析方法,去除各特征参量之间的相关性,再用免疫聚类方法去除相似样本。
参考来源 - 入侵检测中的机器学习方法及其应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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