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CSDA
2004

Computational aspects of algorithms for variable selection in the context of principal components

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Computational aspects of algorithms for variable selection in the context of principal components
Variable selection consists in identifying a k-subset of a set of original variables that is optimal for a given criterion of adequate approximation to the whole data set. Several algorithms for the optimization problems resulting from three di erent criteria in the context of principal components analysis are considered, and computational results are presented. c 2003 Elsevier B.V. All rights reserved.
Jorge Cadima, J. Orestes Cerdeira, Manuel Minhoto
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2004
Where CSDA
Authors Jorge Cadima, J. Orestes Cerdeira, Manuel Minhoto
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