Semi-supervised distance metric learning based on local linear regression for data clustering

Distance metric plays an important role in many machine learning tasks. The distance between samples is mostly measured with a predefined metric, ignoring how the samples distribute in the feature space and how the features are correlated. This paper proposes a semi-supervised distance metric learni...

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Bibliographic Details
Main Authors: Yu, Jun., Wang, Meng., Liu, Yun., Zhang, Hong.
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/85068
http://hdl.handle.net/10220/13661
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Institution: Nanyang Technological University
Language: English
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