Learning Bregman distance functions for semi-supervised clustering

• المؤلفون الرئيسيون: Wu, Lei, HOI, Chu Hong, Jin, Rong, Zhu, Jianke, Yu, N.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2012
• الموضوعات: Bregman distance; convex functions; distance functions; metric learning; Computer Sciences
• الوصول للمادة أونلاين: 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

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...