Consensus Graph Learning for Multi-View Clustering

Multi-view clustering, which exploits the multi-view information to partition data into their clusters, has attracted intense attention. However, most existing methods directly learn a similarity graph from original multi-view features, which inevitably contain noises and redundancy information. The...

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Bibliographic Details
Published in:	IEEE transactions on multimedia Vol. 24; pp. 2461 - 2472
Main Authors:	Li, Zhenglai, Tang, Chang, Liu, Xinwang, Zheng, Xiao, Zhang, Wei, Zhu, En
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Clustering Clustering methods consensus graph learning Correlation Embedding Feature extraction Machine learning Mathematical analysis Multi-view clustering Optimization Redundancy Similarity Streaming media Task analysis Tensors weighted tensor nuclear norm
ISSN:	1520-9210, 1941-0077
Online Access:	Get full text
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