Incomplete Multi-View Clustering With Reconstructed Views

As one category of important incomplete multi-view clustering methods, subspace based methods seek the common latent representation of incomplete multi-view data by matrix factorization and then partition the latent representation to get clustering results. However, these methods ignore missing view...

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Bibliographic Details
Published in:IEEE transactions on knowledge and data engineering 2023-03, Vol.35 (3), p.2671-2682
Main Authors: Yin, Jun, Sun, Shiliang
Format: Article
Language:English
Subjects:
Clustering
Clustering algorithms
Clustering methods
Factorization
gradient descent
Image reconstruction
incomplete view
Iterative algorithms
Kernel
Laplace equations
Linear programming
Multi-view clustering
nonnegative matrix factorization
reconstructed view
Regularization
Representations
Sun
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