摘要
为了研究聚类算法在入侵检测中的应用,该文讨论了传统的k-means算法,指出其存在的问题;将遗传算法引入到聚类算法中,提出了一种改进的k-means算法。实验证明,用该算法实现的数据聚类与传统的k-means算法相比较,能有效提高数据聚类效果。
In order to analyse the application of clustering algorithm in intrusion detection,this paper discusses the traditional algorithm of k-means and points out the shortcomings of it.An advanced k-means clustering algorithm based on genetic algorithm is put forward,it changes the shortcomings of k-means.The experiments show that,compared with traditional k-means,the advanced clustering algorithm can improve the efficiency of data clustering.
出处
《太原理工大学学报》
CAS
北大核心
2008年第S1期74-76,共3页
Journal of Taiyuan University of Technology
