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Multi-view clustering can partition data samples into their categories by learning a consensus representation in unsupervised way and has received more and more attention in recent years. However, most existing deep clustering methods learn consensus representation or view-specific representations from multi...
(SgCL). The former learns a consensus representation via considering global structure relationship among samples, which fully explores the complementary of similar samples. The latter integrates the learnt global structure relationship and consensus representation to contrastive learning, which makes data ...
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