摘要
The paper introduces the approach of outher detection based on kernel,and points out the approach is hard to be realized with the increase of sample number. In order to reduce the size of optimization,the sample selection method based on distance is proposed Through selecting samples,the computation workload and the demand of EMS memory can be decreased greatly. In the end,the real-time demand can be met.
The paper introduces the approach of outlier detection based on kernel ,and points out the approach is hard to be realized with the increase of sample number. In order to reduce the size of optimization, the sample selection method based on distance is proposed. Through selecting samples,the computation workload and the demand of EMS memory can be decreased greatly. In the end,the real-time demand can be met.
出处
《计算机科学》
CSCD
北大核心
2003年第4期159-161,173,共4页
Computer Science
基金
国家自然科学基金(70071023)
