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Robust kernel principal component analysis and classification

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  • Michiel Debruyne
  • Tim Verdonck

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  • Michiel Debruyne & Tim Verdonck, 2010. "Robust kernel principal component analysis and classification," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 4(2), pages 151-167, September.
    • Handle: RePEc:spr:advdac:v:4:y:2010:i:2:p:151-167
    DOI: 10.1007/s11634-010-0068-1
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    References listed on IDEAS

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    1. N. Locantore & J. Marron & D. Simpson & N. Tripoli & J. Zhang & K. Cohen & Graciela Boente & Ricardo Fraiman & Babette Brumback & Christophe Croux & Jianqing Fan & Alois Kneip & John Marden & Daniel P, 1999. "Robust principal component analysis for functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 8(1), pages 1-73, June.
    2. Hengjian Cui, 2003. "Asymptotic distributions of principal components based on robust dispersions," Biometrika, Biometrika Trust, vol. 90(4), pages 953-966, December.
    3. Marden, John I., 1999. "Some robust estimates of principal components," Statistics & Probability Letters, Elsevier, vol. 43(4), pages 349-359, July.
    4. Hubert, Mia & Van Driessen, Katrien, 2004. "Fast and robust discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 301-320, March.
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    Cited by:

    1. Jian-Xun Mi & Jin-Xing Liu, 2013. "Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-11, March.

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