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Learning Common Semantics via Optimal Transport for Contrastive Multi-View Clustering

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Multi-view clustering aims to learn discriminative representations from multi-view data. Although existing methods show impressive performance by leveraging contrastive learning to tackle the representation gap between every two views, they share the common li... ...