Diversity Multi-View Clustering With Subspace and NMF-Based Manifold Learning

Diversity Multi-View Clustering With Subspace and NMF-Based Manifold Learning

Since the complementarity information among multiple views has been exploited to improve the clustering effect significantly, multi-view clustering has become a hot topic, and many multi-view clustering methods have emerged. Most of them only consider local features in each view, ignoring the differ...

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Bibliographic Details
Main Authors: Jiaman Ding, Xiaojiang Fang, Lianyin Jia, Ying Jiang, Runxin Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Multi-view latent clustering (MVLC)
Hilbert Schmidt independence criterion (HSIC)
non-negative matrix factorization (NMF)
manifold learning (ML)
Online Access:https://ieeexplore.ieee.org/document/10092757/

Internet

https://ieeexplore.ieee.org/document/10092757/

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