Geodesic
Data dimensionality reduction in simulation modeling
Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2012), pp. 3-17

Voir la notice de l'article provenant de la source Math-Net.Ru

The intellectual data analysis problems motivated by predictive modeling technology are considered. Dimensionality reduction technique used for reducing a complexity of these problems has to satisfy to some specific requirements. These requirements are discussed and the new unconventional statements for dimensionality reduction problems are formulated in the paper.
Keywords: dimensionality reduction, manifold learning, metamodeling, simulation modeling, computer networks. 
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     author = {Ju. G. Agalakov and A. V. Bernstein},
     title = {Data dimensionality reduction in simulation modeling},
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     year = {2012},
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     url = {http://geodesic.mathdoc.fr/item/ITVS_2012_3_a0/}
}
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Ju. G. Agalakov; A. V. Bernstein. Data dimensionality reduction in simulation modeling. Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2012), pp. 3-17. http://geodesic.mathdoc.fr/item/ITVS_2012_3_a0/