Robust semi-supervised nonnegative matrix factorization for image clustering

• المؤلفون الرئيسيون: Peng, Siyuan, Ser, Wee, Chen, Badong, Lin, Zhiping
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Nonnegative Matrix Factorization; Supervised Information
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/161282
• المؤسسة: Nanyang Technological University

Nonnegative matrix factorization (NMF) is a powerful dimension reduction method, and has received increasing attention in various practical applications. However, most traditional NMF based algorithms are sensitive to noisy data, or fail to fully utilize the limited supervised information. In this p...