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Variable Neighborhood Search Heuristics for Selecting a Subset of Variables in Principal Component Analysis

  • Michael Brusco

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  • Renu Singh
  • Douglas Steinley
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    No abstract is available for this item.

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    File URL: http://hdl.handle.net/10.1007/s11336-009-9130-3
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    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 74 (2009)
    Issue (Month): 4 (December)
    Pages: 705-726

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    Handle: RePEc:spr:psycho:v:74:y:2009:i:4:p:705-726
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    1. P. Bentler, 1977. "Factor simplicity index and transformations," Psychometrika, Springer, vol. 42(2), pages 277-295, June.
    2. Henry Kaiser, 1974. "An index of factorial simplicity," Psychometrika, Springer, vol. 39(1), pages 31-36, March.
    3. Douglas Steinley & Michael Brusco, 2008. "Selection of Variables in Cluster Analysis: An Empirical Comparison of Eight Procedures," Psychometrika, Springer, vol. 73(1), pages 125-144, March.
    4. Duarte Silva, António Pedro, 2001. "Efficient Variable Screening for Multivariate Analysis," Journal of Multivariate Analysis, Elsevier, vol. 76(1), pages 35-62, January.
    5. Yutaka Kano & Akira Harada, 2000. "Stepwise variable selection in factor analysis," Psychometrika, Springer, vol. 65(1), pages 7-22, March.
    6. Kaoru Fueda & Masaya Iizuka & Yuichi Mori, 2009. "Variable selection in multivariate methods using global score estimation," Computational Statistics, Springer, vol. 24(1), pages 127-144, February.
    7. Goel, Asvin & Gruhn, Volker, 2008. "A General Vehicle Routing Problem," European Journal of Operational Research, Elsevier, vol. 191(3), pages 650-660, December.
    8. Michael Brusco & Stephanie Stahl, 2005. "Optimal Least-Squares Unidimensional Scaling: Improved Branch-and-Bound Procedures and Comparison to Dynamic Programming," Psychometrika, Springer, vol. 70(2), pages 253-270, June.
    9. J. Ramsay & Jos Berge & G. Styan, 1984. "Matrix correlation," Psychometrika, Springer, vol. 49(3), pages 403-423, September.
    10. Michael Brusco & Douglas Steinley, 2007. "A Comparison of Heuristic Procedures for Minimum Within-Cluster Sums of Squares Partitioning," Psychometrika, Springer, vol. 72(4), pages 583-600, December.
    11. Kristine Hogarty & Jeffrey Kromrey & John Ferron & Constance Hines, 2004. "Selection of variables in exploratory factor analysis: An empirical comparison of a stepwise and traditional approach," Psychometrika, Springer, vol. 69(4), pages 593-611, December.
    12. Lejeune, M.A., 2006. "A variable neighborhood decomposition search method for supply chain management planning problems," European Journal of Operational Research, Elsevier, vol. 175(2), pages 959-976, December.
    13. A. Pedro Duarte Silva, 2000. "DISCARDING VARIABLES in PRINCIPAL COMPONENT ANALYSIS : ALGORITHMS for ALL-SUBSETS COMPARISONS," Working Papers de Economia (Economics Working Papers) 02, Faculdade de Economia e Gestão, Universidade Católica Portuguesa (Porto).
    14. A. M. Geoffrion & R. E. Marsten, 1972. "Integer Programming Algorithms: A Framework and State-of-the-Art Survey," Management Science, INFORMS, vol. 18(9), pages 465-491, May.
    15. Cadima, Jorge & Cerdeira, J. Orestes & Minhoto, Manuel, 2004. "Computational aspects of algorithms for variable selection in the context of principal components," Computational Statistics & Data Analysis, Elsevier, vol. 47(2), pages 225-236, September.
    16. Michael Brusco & J. Cradit, 2001. "A variable-selection heuristic for K-means clustering," Psychometrika, Springer, vol. 66(2), pages 249-270, June.
    17. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer, vol. 23(3), pages 187-200, September.
    18. Dray, Stephane, 2008. "On the number of principal components: A test of dimensionality based on measurements of similarity between matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2228-2237, January.
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