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《Journal of Heilongjiang Institute of Science and Technology》 2011-02
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Application of boundary detection algorithm in invasion pattern classification and feature extraction

JIN Minsuo,SUN Qiu,ZHU Dan(Information Network Center,Heilongjiang Institute of Science & Technology,Harbin 150027,China)  
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.
【Fund】: 黑龙江省教育厅科学技术研究项目(11551439)
【CateGory Index】: TP393.08
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