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《Computer Engineering》 2003-11
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Approach of Outlier Detection Based on Support Objects

XIAO Jianhua (Institute of Intelligent Technology & Systems, Wuyi University, Jiangmen 529020 )  
From the point of view of pattern recognition, the paper analyzes t he outlier detection method and points out that the method may become have to re alize with the increase ment of samples. In order to reduce the size of optimiza tion, the approach of outlier detection based on support objects is proposed. By the new method, the operation size can be reduced greatly, and the demand of r eal-time can be met.
【Fund】: 国家自然科学基金资助项目(70071023);; 广东省自然科学基金资助项目(0213 49)
【CateGory Index】: TP311
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