Joint structured bipartite graph and row-sparse projection for large-scale feature selection

• Main Authors: Dong, Xia, Nie, Feiping, Wu, Danyang, Wang, Rong, Li, Xuelong
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Large-scale feature selection; Multiple subcluster centers; Row-sparse projection; Structured bipartite graph; Unsupervised learning
• Online Access: https://hdl.handle.net/10356/175915
• Institution: Nanyang Technological University

Feature selection plays an important role in data analysis, yet traditional graph-based methods often produce suboptimal results. These methods typically follow a two-stage process: constructing a graph with data-to-data affinities or a bipartite graph with data-to-anchor affinities and independentl...