Learning Bregman distance functions for semi-supervised clustering

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...

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Bibliographic Details
Main Authors: Wu, Lei., Hoi, Steven C. H., Jin, Rong., Zhu, Jianke., Yu, Nenghai.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/84506
http://hdl.handle.net/10220/13469
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Institution: Nanyang Technological University
Language: English