Name
Title | ||
|---|---|---|
Enhancing multi-view clustering through common subspace integration by considering both global similarities and local structures |
Abstract | ||
|---|---|---|
•Exploiting cross-view complementarity will boost multi-view clustering performance.•The CSI estimated an affinity matrix to have the clustering results directly.•Experiments on 6 datasets validated the superiority of CSI by 12 comparison methods. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.neucom.2019.10.014 | Neurocomputing |
Keywords | Field | DocType |
Multi-view learning,Subspace learning,Graph learning,Clustering,Integration | Kernel (linear algebra),Subspace topology,Artificial intelligence,Partition (number theory),Fuse (electrical),Cluster analysis,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
378 | 0925-2312 | 5 |
PageRank | References | Authors |
0.39 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wanlin Weng | 1 | 9 | 1.47 |
| Weiwei Zhou | 2 | 5 | 0.73 |
| Jiazhou Chen | 3 | 23 | 6.86 |
| Hong Peng | 4 | 14 | 10.33 |
| Hongmin Cai | 5 | 160 | 24.84 |