Weighted Multi-view Clustering with Feature Selection

In recent years, combining multiple sources or views of datasets for data clustering has been a popular practice for improving clustering accuracy. As different views are different representations of the same set of instances, we can simultaneously use information from multiple views to improve the...

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Bibliographic Details

Published in:	Pattern recognition Vol. 53; pp. 25 - 35
Main Authors:	Xu, Yu-Meng, Wang, Chang-Dong, Lai, Jian-Huang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.05.2016
Subjects:	Algorithms Clustering Data clustering Data points Feature selection Multi-view Pattern recognition Representations Weighting Feature selection Weighting Multi-view Data clustering
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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