Sparse Multiple Correspondence Analysis-Reference-Cited by-同舟云学术

Sparse Multiple Correspondence Analysis

Published:2016 Issue: Volume: Page:47-56
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_5

Reference15 articles.

1. Adachi, K.: Oblique promax rotation applied to the solutions in multiple correspondence analysis. Behaviormetrika 31, 1–12 (2004)

2. Adachi, K., Trendafilov, N.T.: Sparse principal component analysis subject to prespecified cardinality of loadings. Comput. Stat. 31, 1–25 (2015)

3. Bernard, A., Guinot, C., Saporta, G.: Sparse principal component analysis for multiblock data and its extension to sparse multiple correspondence analysis. In: Colubi, A., Fokianos, K., Gonzalez-Rodriguez, G., Kontaghiorghes, E. (eds.) Proceedings of 20th International Conference on Computational Sttatistics (COMPSTAT 2012), pp. 99–106 (2012)

4. Browne, M.W.: An overview of analytic rotation in exploratory factor analysis. Multivar. Behav. Res. 36, 111–150 (2001)

5. d’Aspremont, A., Bach, F., Ghaoui, L.E.: Optimal solutions for sparse principal component analysis. J. Mach. Learn. Res. 9, 1269–1294 (2008)

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