Title
Sparse Weighted Canonical Correlation Analysis
Abstract
Given two data matrices X and Y , Sparse canonical correlation analysis (SCCA) is to seek two sparse canonical vectors u and v to maximize the correlation between Xu and Yv. Classical and sparse Canonical correlation analysis (CCA) models consider the contribution of all the samples of data matrices and thus cannot identify an underlying specific subset of samples. We propose a novel Sparse weight...
Year
DOI
Venue
2017
10.1049/cje.2017.08.004
Chinese Journal of Electronics
Keywords
DocType
Volume
correlation methods,data analysis,data integration,iterative methods,sparse matrices,vectors
Journal
27
Issue
ISSN
Citations 
3
1022-4653
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Wenwen Min1163.88
Juan Liu251.83
Shihua Zhang342436.27