Multi-label feature selection based on max-dependency and min-redundancy

Yaojin Lin, Qinghua Hu, Jinghua Liu, Jie Duan

Abstract: Highlights•The conditional redundancy between the candidate feature and the selected features is considered.•The dependency between the candidate feature and all class labels is involved.•A metric called max-dependency and min-redundancy is used to evaluate each feature.•Extensive experimental results show that the proposed method is effective.