黑龙江科技学院学报2011，Vol.21Issue(2)：142-145,4.
边界检测在入侵模式分类与特征提取中的应用
Application of boundary detection algorithm in invasion pattern classification and feature extraction
摘要
Abstract
Adopting the boundary detection method can help the users achieve an effective extraction of the network data and a quick intruding detection in the lack of detective knowledge. It is helpful to establish a theoretical framework and develop a universal method of self-learning as to the limited samples with the boundary detection method, through feature extraction can get rid of the data without the distinguished features in the following intruding detection. Experimental data analysis shows that the number of effective clustering increases along with the increasing original samples and then levels off. Its validity has been demonstrated in the theoretical analysis and simulation experiments in this article.关键词
边界检测算法/入侵模式/特征提取Key words
boundary detection algorithm/ invasion pattern/ feature extraction分类
计算机与自动化引用本文复制引用
金民锁,孙遒,朱单..边界检测在入侵模式分类与特征提取中的应用[J].黑龙江科技学院学报,2011,21(2):142-145,4.基金项目
黑龙江省教育厅科学技术研究项目(11551439) （11551439）
