This paper proposes a rough spectral clustering algorithm and apply the algorithm on text data mining.
该文提出了一种粗糙谱聚类算法,并将其应用于文本数据挖掘。
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。
Main works are as follows. A clustering ensemble algorithm based on prior knowledge and spectral analysis is proposed.
具体工作如下:提出了一种基于先验信息和谱分析的聚类融合算法。
Main works are as follows. A clustering ensemble algorithm based on prior knowledge and spectral analysis is proposed.
具体工作如下:提出了一种基于先验信息和谱分析的聚类融合算法。
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