摘要： 探讨用相似性系数理论和信息熵理论两种方法去解决含有分类属性的聚类问题,并重点对这两种相似性度量方法解决入侵检测聚类问题时的等效性进行了研究。

关键词: 入侵检测, 聚类, 相似性度量

Abstract: This paper discusses how to deal with the clustering problem with categorical attributes by means of the theory of similarity coefficients and the theory of entropy, and emphatically studies the equivalence of the two similarity measures in resolving the clustering problem for intrusion detection.

中图分类号: 

• TP393.08