Title
Dynamic auto-weighted multi-view co-clustering.
Abstract
•A novel multi-view co-clustering method is proposed.•A dynamic and automatic weighting scheme is designed by discrimination-compression rate.•A new two-step sequential method is designed to solve the optimization problem.
Year
DOI
Venue
2020
10.1016/j.patcog.2019.107101
Pattern Recognition
Keywords
Field
DocType
Multi-view co-clustering,Information bottleneck,Weighting
Weighting,Pattern recognition,Exploit,Redundancy (engineering),Artificial intelligence,Information bottleneck method,Biclustering,Cluster analysis,Discriminative model,Optimization problem,Mathematics
Journal
Volume
Issue
ISSN
99
1
0031-3203
Citations 
PageRank 
References 
4
0.39
0
Authors
3
Name
Order
Citations
PageRank
Shizhe Hu1124.63
Xiaoqiang Yan2205.35
Yangdong Ye311829.64