View-Wise Versus Cluster-Wise Weight: Which Is Better for Multi-View Clustering?

Weighted multi-view clustering (MVC) aims to combine the complementary information of multi-view data (such as image data with different types of features) in a weighted manner to obtain a consistent clustering result. However, when the cluster-wise weights across views are vastly different, most ex...

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Vydané v:	IEEE transactions on image processing Ročník 31; s. 58 - 71
Hlavní autori:	Hu, Shizhe, Lou, Zhengzheng, Ye, Yangdong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Clustering Clustering algorithms Image color analysis information bottleneck Learning Linear programming Multi-view clustering Mutual information Optimization Random variables Shape Smoothness weight learning
ISSN:	1057-7149, 1941-0042, 1941-0042
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