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Generalization of Quantification for PLS Correlation
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 Title & Authors
Generalization of Quantification for PLS Correlation
Yi, Seong-Keun; Huh, Myung-Hoe;
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 Abstract
This study proposes a quantification algorithm for a PLS method with several sets of variables. We called the quantification method for PLS with more than 2 sets of data a generalization. The basis of the quantification for PLS method is singular value decomposition. To derive the form of singular value decomposition in the data with more than 2 sets more easily, we used the constraint, $a^ta+b^tb+c^tc
 Keywords
Partial Least Squares(PLS);generalization of quantification for PLS correlation;
 Language
English
 Cited by
 References
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