Parallel multi-view concept clustering in distributed computing

Multi-view clustering (MvC) is an emerging task in data mining. It aims at partitioning the data sampled from multiple views. Although a great deal of research has been done, this task remains to be very challenging. We found an important problem in performing the MvC task. MvC needs large amounts o...

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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 10; S. 5621 - 5631
Hauptverfasser:	Wang, Hao, Yang, Yan, Zhang, Xiaobo, Peng, Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.05.2020 Springer Nature B.V
Schlagworte:	Advances in Parallel and Distributed Computing for Neural Computing Artificial Intelligence Clustering Computational Biology/Bioinformatics Computational Science and Engineering Computer networks Computer Science Data mining Data Mining and Knowledge Discovery Distributed processing Factorization Image Processing and Computer Vision Machine learning Manifolds (mathematics) Probability and Statistics in Computer Science Representations Multi-view clustering Manifold learning Concept factorization Distributed computing
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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