Correntropy-Based Multiview Subspace Clustering

IEEE Transactions on Cybernetics, pp. 3298-3311, 2021.

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Abstract:

Multiview subspace clustering, which aims to cluster the given data points with information from multiple sources or features into their underlying subspaces, has a wide range of applications in the communities of data mining and pattern recognition. Compared with the single-view subspace clustering, it is challenging to efficiently learn...More

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