Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering

• المؤلفون الرئيسيون: Yin, Jingxing, Peng, Siyuan, Yang, Zhijing, Chen, Badong, Lin, Zhiping
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Hypergraph Learning; Semi-Supervised Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/172037

Semi-supervised symmetric nonnegative matrix factorization (SNMF) has been shown to be a significant method for both linear and nonlinear data clustering applications. Nevertheless, existing SNMF-based methods only adopt a simple graph to construct the similarity matrix, and cannot fully use the lim...