Conference
Open access
Sep 2026
Dual-Topology Learning with Adaptive Anchors for Multi-View Clustering
The Dual-tOpology learning with adapTive Anchors (DOTA) is proposed, which not only learns the sample-anchor relationship but also preserves the topology structure among anchors, significantly enhancing the discriminability of learned representation while preserving the underlying data manifold.
Cheng-Long Zhang, Chao Zhang, Jun-Hao Zhang et al.
· Proceedings of the Thirty-Fi... · 0 citations