GMC: Graph-Based Multi-View Clustering

Multi-view graph-based clustering aims to provide clustering solutions to multi-view data. However, most existing methods do not give sufficient consideration to weights of different views and require an additional clustering step to produce the final clusters. They also usually optimize their objec...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 32; H. 6; S. 1116 - 1129
Hauptverfasser:	Wang, Hao, Yang, Yan, Liu, Bing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Clustering Clustering algorithms Clustering methods Computational complexity Computational modeling data fusion Data points graph-based clustering Kernel Laplace equations Laplacian matrix Learning Matrix converters Multi-view clustering Optimization rank constraint
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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