Transport Barycenter-Guided Sample-to-Cluster Matching for Unaligned Multi-view Clustering.
Multi-view Discrete Optimal Transport is instantiated as a cluster-level transport matching framework that first adopts semi-discrete OT to learn a global OT barycenter via aggregating semantic-geometric information from all views, and then transports samples to barycenter-anchored consensus clusters under consistency...