Robust nonnegative matrix factorization with local coordinate constraint for image clustering

• المؤلفون الرئيسيون: Peng, Siyuan, Ser, Wee, Chen, Badong, Sun, Lei, Lin, Zhiping
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies; Nonnegative Matrix Factorization; Correntropy
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/149879

Nonnegative matrix factorization (NMF) has attracted increasing attention in data mining and machine learning. However, existing NMF methods have some limitations. For example, some NMF methods seriously suffer from noisy data contaminated by outliers, or fail to preserve the geometric information o...