An unsupervised feature selection approach for actionable warning identification

Xiuting Ge, Chunrong Fang, Jia Liu, Mingshuang Qing, Xuanye Li, Zhihong Zhao

Abstract: Highlights•An unsupervised feature selection approach for actionable warning identification.•Feature clustering and feature ranking to build the unsupervised feature selection•Extensive experiments to evaluate the unsupervised feature selection approach.•Detailed discussion about feature selection techniques.