Robust semi-supervised nonnegative matrix factorization for image clustering

• Main Authors: Peng, Siyuan, Ser, Wee, Chen, Badong, Lin, Zhiping
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Nonnegative Matrix Factorization; Supervised Information
• Online Access: https://hdl.handle.net/10356/161282
• Institution: 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...