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

• Main Authors: Yin, Jingxing, Peng, Siyuan, Yang, Zhijing, Chen, Badong, Lin, Zhiping
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Hypergraph Learning; Semi-Supervised Learning
• Online Access: https://hdl.handle.net/10356/172037
• Institution: Nanyang Technological University

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...