.png){kind=icon}
.png){kind=icon}
Return
Dual-Branch representation alignment framework for deep multi-view clustering
.png){kind=icon}
PRE
AI
DOI：10.1016/j.knosys.2026.115872.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A Dual-Branch Representation Alignment (DBRA) framework is proposed for DMVC. • The Specific Feature Learning (SFL) branch captures view-specific representations. • The Common Feature Learning (CFL) branch extracts a cross-view common representation. • Dual Representation Alignment (DRA) achieves multi-level collaborative alignment.
Keywords:
Dual-Branch Representation Alignment
Deep Multi-View Clustering
Specific Feature Learning
Common Feature Learning
Multi-Level Alignment
Journal
K
IF:
7.6
Papers:
1.2W
Citations:
4.5W
Organization
View more organizations