AlleviateAnchor-Shift: ExploreBlindSpotswith Cross-ViewReconstructionforIncompleteMulti-View Clustering

Neural Information Processing Systems 

Despite efficiencyimprovements, existing methods overlook themisguidance in anchors learning induced by partial missing samples,i.e., the absence of samples results in shift of learned anchors, further leading to sub-optimal clustering performance.