Abstract | ||
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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 |
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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 Min | 1 | 16 | 3.88 |
Juan Liu | 2 | 5 | 1.83 |
Shihua Zhang | 3 | 424 | 36.27 |