关键词: 机器学习, 特征选择, 分类

Abstract: Selecting appropriate features to use is among the key problems in machine learning and data mining. The paper defines a new feature selection criterion， i.e. Correlation Projection Score， which can help explicitly take feature interactions into account in feature selection. Then， it presents a simple algorithm which can effectively select features according to Correlation Projection Score. Experiments show that the proposed algorithm is better than some established feature selection algorithms.

Key words: machine learning, feature selection, classification