Variable Selection in Nonlinear Principal Component Analysis-Reference-Cited by-同舟云学术

Variable Selection in Nonlinear Principal Component Analysis

Published:2016 Issue: Volume: Page:31-45
ISSN:2191-544X
Container-title:Nonlinear Principal Component Analysis and Its Applications
language:
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Author:

Mori Yuichi,Kuroda Masahiro,Makino Naomichi

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-0159-8_4

Reference20 articles.

1. Bernard, A., Guinot, C., Saporta, G.: Sparse principal component analysis for multiblock data and its extension to sparse multiple correspondence analysis. Compstat 2012, 99–106 (2012)

2. Bonifas, I., Escoufier, Y., Gonzalez, P.L. et Sabatier, R.: Choix de variables en analyse en composantes principales. Rev. Statist. Appl. 23, 5–15 (1984)

3. Falguerolles, A., De et Jmel, S.: Un critere de choix de variables en analyse en composantes principales fonde sur des modeles graphiques gaussiens particuliers. Rev. Canadienne Statist. 21(3), 239–256 (1993)

4. Fueda, K., Iizuka, M., Mori, Y.: Variable selection in multivariate methods using global score estimation. Comput. Stat. 24, 127–144 (2009)

5. Jeffers, J.N.R.: Two case studies in the application of principal component analysis. Appl. Stat. 16, 225–236 (1967)

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