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Fast and robust discriminant analysis

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  • Hubert, Mia
  • Van Driessen, Katrien
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    File URL: http://www.sciencedirect.com/science/article/B6V8V-47183X8-1/2/1c3683a5dbef187d76f19d375dfebdeb
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    Bibliographic Info

    Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

    Volume (Year): 45 (2004)
    Issue (Month): 2 (March)
    Pages: 301-320

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    Handle: RePEc:eee:csdana:v:45:y:2004:i:2:p:301-320

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    Web page: http://www.elsevier.com/locate/csda

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    1. Croux, Christophe & Haesbroeck, Gentiane, 1999. "Influence Function and Efficiency of the Minimum Covariance Determinant Scatter Matrix Estimator," Journal of Multivariate Analysis, Elsevier, vol. 71(2), pages 161-190, November.
    2. He, Xuming & Fung, Wing K., 2000. "High Breakdown Estimation for Multiple Populations with Applications to Discriminant Analysis," Journal of Multivariate Analysis, Elsevier, vol. 72(2), pages 151-162, February.
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    Cited by:
    1. Lange, Tatjana & Mosler, Karl & Mozharovskyi, Pavlo, 2012. "Fast nonparametric classification based on data depth," Discussion Papers in Statistics and Econometrics 1/12, University of Cologne, Department for Economic and Social Statistics.
    2. Peter Filzmoser & Karel Hron & Matthias Templ, 2012. "Discriminant analysis for compositional data and robust parameter estimation," Computational Statistics, Springer, vol. 27(4), pages 585-604, December.
    3. Michiel Debruyne & Tim Verdonck, 2010. "Robust kernel principal component analysis and classification," Advances in Data Analysis and Classification, Springer, vol. 4(2), pages 151-167, September.
    4. Cerioli, Andrea & Farcomeni, Alessio & Riani, Marco, 2013. "Robust distances for outlier-free goodness-of-fit testing," Computational Statistics & Data Analysis, Elsevier, vol. 65(C), pages 29-45.
    5. Stefan Van Aelst & Gert Willems, 2010. "Inference for robust canonical variate analysis," Advances in Data Analysis and Classification, Springer, vol. 4(2), pages 181-197, September.
    6. Valentin Todorov & Peter Filzmoser, . "An Object-Oriented Framework for Robust Multivariate Analysis," Journal of Statistical Software, American Statistical Association, vol. 32(i03).
    7. Salvador, B. & Fernandez, M.A. & Martin, I. & Rueda, C., 2008. "Robustness of classification rules that incorporate additional information," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2489-2495, January.
    8. Matías Salibián-Barrera & Stefan Aelst & Gert Willems, 2008. "Fast and robust bootstrap," Statistical Methods and Applications, Springer, vol. 17(1), pages 41-71, February.
    9. Valentin Todorov, 2007. "Robust selection of variables in linear discriminant analysis," Statistical Methods and Applications, Springer, vol. 15(3), pages 395-407, February.
    10. Asuman Turkmen & Nedret Billor, 2013. "Partial least squares classification for high dimensional data using the PCOUT algorithm," Computational Statistics, Springer, vol. 28(2), pages 771-788, April.
    11. Pires, Ana M. & Branco, João A., 2010. "Projection-pursuit approach to robust linear discriminant analysis," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2464-2485, November.
    12. Mia Hubert & Stephan Van der Veeken, 2010. "Robust classification for skewed data," Advances in Data Analysis and Classification, Springer, vol. 4(4), pages 239-254, December.
    13. Croux, Christophe & Joossens, Kristel, 2005. "Influence of observations on the misclassification probability in quadratic discriminant analysis," Journal of Multivariate Analysis, Elsevier, vol. 96(2), pages 384-403, October.
    14. Subhajit Dutta & Anil Ghosh, 2012. "On robust classification using projection depth," Annals of the Institute of Statistical Mathematics, Springer, vol. 64(3), pages 657-676, June.
    15. Todorov, Valentin & Filzmoser, Peter, 2010. "Robust statistic for the one-way MANOVA," Computational Statistics & Data Analysis, Elsevier, vol. 54(1), pages 37-48, January.

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