Adaptive Feature-Weighted Topological Manifold Graph Learning for Multi-View Data Clustering
Existing graph-based multi-view clustering methods commonly employ view weights as global multipliers over both local graph construction and cross-view consensus graph learning. Such a design may over-penalize weakly aligned views, thereby hindering adaptive feature selection and degrading view-specific manifold preser...