A learning algorithm for adaptive canoni
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Javier VΓa; Ignacio SantamarΓa; JesΓΊs PΓ©rez
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Article
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2007
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Elsevier Science
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English
β 983 KB
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