A Novel Feature Selection Method Based on Data Normalization

摘要：

Data normalization is the first step of pattern recognition (PR). Feature selection is another part of work in PR. All of them are very important and challengeable. In this paper, some normalization methods and some feature selection methods are introduced first, then, discussed the relationship between feature selection and data normalization. Finally, an algorithm is described how to normalize supervised multi-class (phenotype) data that all the classes are the type of multisample by a statistical way. By the method, on the training phase of PR, useful features can be obtained with the same normalization algorithm. The method in this paper has practical significance.

关键词： feature selection normalization EINR INR

作者: Jianping Lu

作者单位: School of EE & Information Soochow University Suzhou, Jiangsu, China, 215006

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 422-425

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）