View-Driven Multi-View Clustering via Contrastive Double-Learning
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DOI: 10.3390/e26060470
Abstract: Multi-view clustering requires simultaneous attention to both consistency and the diversity of information between views. Deep learning techniques have shown impressive abilities to learn complex features when working with extensive datasets; however, existing deep multi-view… read more here.
Keywords: view; contrastive double; driven multi; view clustering ... See more keywords