Learning Bregman distance functions for semi-supervised clustering

• Main Authors: Wu, Lei, HOI, Chu Hong, Jin, Rong, Zhu, Jianke, Yu, N.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Bregman distance; convex functions; distance functions; metric learning; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/2282; https://ink.library.smu.edu.sg/context/sis_research/article/3282/viewcontent/Learning_Bregman_Distance_Functions_with_Applications_to_Semi_Supervised_Clustering.pdf
• Institution: Singapore Management University

Learning distance functions with side information plays a key role in many data mining applications. Conventional distance metric learning approaches often assume that the target distance function is represented in some form of Mahalanobis distance. These approaches usually work well when data are i...