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A New Canonical Correlation Analysis Algorithm with Local Discrimination

✍ Scribed by Yan Peng; Daoqiang Zhang; Jianchun Zhang

Book ID
106483041
Publisher
Springer US
Year
2009
Tongue
English
Weight
340 KB
Volume
31
Category
Article
ISSN
1370-4621

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Canonical correlation analysis (CCA) is a classical tool in statistical analysis to find the projections that maximize the correlation between two data sets. In this work we propose a generalization of CCA to several data sets, which is shown to be equivalent to the classical maximum variance (MAXVA