104 citations · 185 across the 8 of their papers we have counts for
3 papers · 1 filter
One for all: A novel Dual-space Co-training baseline for Large-scale Multi-View Clustering
Zisen Kong, Zhiqiang Fu, Dongxia Chang +2
In this paper, we propose a novel multi-view clustering model, named Dual-space Co-training Large-scale Multi-view Clustering (DSCMC). The main objective of our approach is to enha…
Incomplete Multi-view Clustering via Cross-view Relation Transfer
Yiming Wang, Dongxia Chang, Zhiqiang Fu +1
In this paper, we consider the problem of multi-view clustering on incomplete views. Compared with complete multi-view clustering, the view-missing problem increases the difficulty…
Auto-weighted low-rank representation for clustering
Zhiqiang Fu, Yao Zhao, Dongxia Chang +2
In this paper, a novel unsupervised low-rank representation model, i.e., Auto-weighted Low-Rank Representation (ALRR), is proposed to construct a more favorable similarity graph (S…