计算机应用研究2012，Vol.29Issue(8)：2903-2905,3.DOI:10.3969/j.issn.1001-3695.2012.08.026
基于互信息和遗传算法的两阶段特征选择方法
Two-stage feature selection algorithm based on mutual information and genetic algorithm
摘要
Abstract
To get better feature subset in the feature selection process, this paper proposed a new two-stage feature selection algorithm based on normalized mutual information and genetic algorithm. First it ranked features by normalized mutual information. Then to provide the genetic algorithm with better starting point it used the front ranking features to initialize the population , thus got better feature subset after only a few evolution times. The test results on benchmark datasets show the effectiveness of the algorithm,in terms of dimensionality reduction and classification performance.关键词
标准化互信息/遗传算法/特征选择/特征约简Key words
normalized mutual information/genetic algorithm/feature selection/dimensionality reduction分类
信息技术与安全科学引用本文复制引用
裘国永,王娜,汪万紫..基于互信息和遗传算法的两阶段特征选择方法[J].计算机应用研究,2012,29(8):2903-2905,3.基金项目
陕西省自然科学基金资助项目(2010JM8039) （2010JM8039）
