Correntropy based graph regularized concept factorization for clustering

• Main Authors: Peng, Siyuan, Ser, Wee, Chen, Badong, Sun, Lei, Lin, Zhiping
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Engineering::Computer science and engineering; Concept Factorization; Graph Regularization
• Online Access: https://hdl.handle.net/10356/136678
• Institution: Nanyang Technological University

Concept factorization (CF) technique is one of the most powerful approaches for feature learning, and has been successfully adopted in a wide range of practical applications such as data mining, computer vision, and information retrieval. Most existing concept factorization methods mainly minimize t...