Daidai Zhu

Mixture of Clustering Experts with Dual Consistency for Multi-View Clustering

Multi-view clustering aims to discover shared semantic structures from multiple complementary data views to improve clustering performance. However, most existing methods rely on a single clustering representation for each semantic cluster, which limits the ability to model complex cluster structure