based on the above research background, this paper creatively applies the spectral clustering algorithm on intrusion detection, to improve the efficiency of intrusion detection.
本文基于以上研究背景,开创性地将谱聚类算法应用于入侵检测中,以提高入侵检测的效率。
then introduces spectral clustering algorithm based on deficiencies of variety of traditional clustering algorithms on intrusion detection.
然后分析了各种传统聚类算法在入侵检测中所表现的不足,并引入了谱聚类算法加以解决。
then using the combining method of co-association matrix, the final result is obtained by using spectral clustering algorithm on this matrix.
再采用基于互联合矩阵的集成方法,在构造的相似度矩阵上应用谱聚类算法来完成对数据的最后聚类。