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Application of local linear embedding to nonlinear exploratory latent structure analysis

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  • Haonan Wang

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  • Hari Iyer
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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s11336-005-1341-7
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 72 (2007)
    Issue (Month): 2 (June)
    Pages: 199-225

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    Handle: RePEc:spr:psycho:v:72:y:2007:i:2:p:199-225

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    Web page: http://www.springerlink.com/link.asp?id=112911

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    Related research

    Keywords: Locally Linear Embedding; factor analysis; penalized spline smoothing; dimension reduction; manifold reconstruction; principal components analysis; crossvalidation;

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    1. Roderick McDonald, 1967. "Numerical methods for polynomial models in nonlinear factor analysis," Psychometrika, Springer, vol. 32(1), pages 77-112, March.
    2. Long Ngo & Matthew P. Wand, . "Smoothing with Mixed Model Software," Journal of Statistical Software, American Statistical Association, vol. 9(i01).
    3. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
    4. E. E. Kammann & M. P. Wand, 2003. "Geoadditive models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(1), pages 1-18.
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