【摘要】 以基因表达数据进行特征选择及分类处理为研究对象,通过集成多种特征选择技术的研究,力图提高数据识别率。通过模拟实验,结果表明,基于集成多种特征选择能有效提高分类能力,更具稳定性。更多还原

【Abstract】 It took gene expression data for feature selection and classification processing as the research object in this paper,and integrates multiple feature selection techniques to try to improve the data recognition rate.Through simulation experiments,the results showed that the feature selection based on integration can effectively improve the classification ability and be more stable.更多还原