Learning Bregman Distance Functions and its Application for Semi-Supervised Clustering

• Main Authors: WU, Lei, JIN, Rong, HOI, Steven C. H., ZHU, Jianke, YU, Nenghai
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2368; https://ink.library.smu.edu.sg/context/sis_research/article/3368/viewcontent/NIPS09_Bregman_CR_jin.pdf
• Institution: Singapore Management University

Learning distance functions with side information plays a key role in many machine learning and data mining applications. Conventional approaches often assume a Mahalanobis distance function. These approaches are limited in two aspects: (i) they are computationally expensive (even infeasible) for hi...