Diffusion-driven incomplete multi-view clustering via structured regularization and semantic alignment
This work proposes a diffusion-driven incomplete multi-view clustering framework based on structured regularization and semantic alignment, termed DISCM, which significantly outperforms existing methods on multiple incomplete multi-view datasets, particularly exhibiting stronger stability and robustness under high miss...