基于冗余分析的特征选择算法

发布时间：2018-06-19 11:20

本文选题：特征选择 + 相关　；参考：《北京邮电大学学报》2017年01期

【摘要】：针对冗余特征判定难题,分析了特征和特征之间的相关性以及特征和目标值之间相关性的联系,给出了判定冗余特征的准则,在此基础上给出了近似冗余特征的定义,并提出了一种基于冗余分析的特征选择算法.算法分2步去除无关特征和冗余特征.实验结果表明,所提出的特征选择算法能有效降低特征维数,提高预测准确率.
[Abstract]:Aiming at the problem of determining redundant features, the correlation between features and target values are analyzed, and the criteria for judging redundant features are given. Based on this, the definition of approximate redundant features is given. A feature selection algorithm based on redundancy analysis is proposed. The algorithm is divided into two steps to remove irrelevant features and redundant features. Experimental results show that the proposed feature selection algorithm can effectively reduce the feature dimension and improve the prediction accuracy.
【作者单位】：中国海洋大学信息科学与工程学院;
【基金】：国家自然科学基金项目(61379127,61379128)
【分类号】：TP301.6

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