Multi-View Clustering

Single phase multi-view clustering using unified graph learning and spectral representation
The most widely used multi-view clustering approaches can be classified into different groups: Subspace multi-view clustering …
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Consensus graph and spectral representation for one-step multi-view kernel based clustering
Recently, multi-view clustering has received much attention in the fields of machine learning and pattern recognition. Spectral …
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Multi-view spectral clustering via constrained nonnegative embedding
Multi-view clustering has attracted much attention recently. Among all clustering approaches, spectral ones have gained much popularity …
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One-step multi-view spectral clustering with cluster label correlation graph
Recently, one-step clustering methods have shown good performance. However, very few one-step approaches have addressed the multi-view …
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