Zhenglai Li

Self-Refining Spherical Consensus Embedding for Constrained Multi-View Clustering.

Constrained multi-view clustering aims to integrate external prior knowledge and complementary information from multiple views to enhance clustering performance. However, existing approaches typically employ Euclidean distance to learn view-specific and consensus embeddings, which often fail to capture the intrinsic ge...