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

• المؤلفون الرئيسيون: Dong, Xia, Nie, Feiping, Wu, Danyang, Wang, Rong, Li, Xuelong
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Large-scale feature selection; Multiple subcluster centers; Row-sparse projection; Structured bipartite graph; Unsupervised learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/175915
• المؤسسة: 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...