Microarray Data Classification Based on Evolutionary Multiple Classifier System

摘要：

The Design of an evolutionary multiple classifier system (MCS) is a relatively new research area. In the paper,we propose a genetic algorithm (GA) based MCS for microarray data classification. A feature poll was constructed,and then a multi-objective GA to implement ensemble feature selection process was applied. When this GA stops,a set of base classifiers are generated. We test the proposed ensemble methods based on microarray data sets,and the results are compared with those obtained by boosting and bagging. The experimental results show that methods are robust and can lead to promising results.

关键词： multiple classifier system genetic algorithm

作者: Gaoyun liukunhong

作者单位: Department of Computer Engineering Jiangsu College of Information Technology WuXi,China Department of Data Mining Software School of Xiamen University XiaMen,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2005-2008

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）