Multi-view clustering with GMM-based noise identification, first-view-anchored hybrid rectification, and soft-label-gated contrastive learning beats 11 baselines on six noisy benchmarks.
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Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
Multi-view clustering with GMM-based noise identification, first-view-anchored hybrid rectification, and soft-label-gated contrastive learning beats 11 baselines on six noisy benchmarks.