Multi-view clustering via multi-manifold regularized non-negative matrix factorization

Non-negative matrix factorization based multi-view clustering algorithms have shown their competitiveness among different multi-view clustering algorithms. However, non-negative matrix factorization fails to preserve the locally geometrical structure of the data space. In this paper, we propose a mu...

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Veröffentlicht in:	Neural networks Jg. 88; S. 74 - 89
Hauptverfasser:	Zong, Linlin, Zhang, Xianchao, Zhao, Long, Yu, Hong, Zhao, Qianli
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.04.2017
Schlagworte:	Algorithms Cluster Analysis Locally linear embedding (LLE) Multi-manifold Multi-view clustering Non-negative matrix factorization Locally linear embedding (LLE) Multi-view clustering Non-negative matrix factorization Multi-manifold
ISSN:	0893-6080, 1879-2782, 1879-2782
Online-Zugang:	Volltext
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