Graph self-representation method for unsupervised feature selection

• Published in: Neurocomputing (Amsterdam) Vol. 220; pp. 130 - 137
• Main Authors: Hu, Rongyao, Zhu, Xiaofeng, Cheng, Debo, He, Wei, Yan, Yan, Song, Jingkuan, Zhang, Shichao
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 12.01.2017
• Subjects: Alternating direction method multipliers; Dimensionality reduction; Locality preserving projection; Self-representation; Dimensionality reduction; Alternating direction method multipliers; Locality preserving projection; Self-representation

Both subspace learning methods and feature selection methods are often used for removing irrelative features from high-dimensional data. Studies have shown that feature selection methods have interpretation ability and subspace learning methods output stable performance. This paper proposes a new un...