An Approach for Kernel Selection Based on Data Distribution

摘要：

This paper presents a data based kernel selection approach,which utilizes the geometry distribution of data.Once the approximate distribution can be confirmed as a special one like circle,cirque,sphere cylinder,et al,some known kernel functions corresponding to the special distribution can then be used.Four datasets are used to verify the presented approach,and simulation results demonstrate the rationality and effectiveness of the presented approach.

作者: Wenjian Wang Jinling Guo Changqian Men

作者单位: Institute of System Engineering,Faculty of Computer and Information Technology Shanxi University,Tai Department of Information and Engineering,Business College of Shanxi University Taiyuan,P.R.China 03

会议类型: 国际会议

会议名称: The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

会议地点: 成都

会议语种:英文

页码: 596-603

在线出版日期: 2008-05-17（万方平台首次上网日期，不代表论文的发表时间）