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Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables

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  • Véronique Cariou
  • Stéphane Verdun
  • Emmanuelle Diaz
  • El Qannari
  • Evelyne Vigneau

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  • Véronique Cariou & Stéphane Verdun & Emmanuelle Diaz & El Qannari & Evelyne Vigneau, 2009. "Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables," 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. 3(3), pages 227-241, December.
    • Handle: RePEc:spr:advdac:v:3:y:2009:i:3:p:227-241
    DOI: 10.1007/s11634-009-0047-6
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    References listed on IDEAS

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    1. Hardy, Andre, 1996. "On the number of clusters," Computational Statistics & Data Analysis, Elsevier, vol. 23(1), pages 83-96, November.
    2. Sugar, Catherine A. & James, Gareth M., 2003. "Finding the Number of Clusters in a Dataset: An Information-Theoretic Approach," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 750-763, January.
    3. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
    4. Jon R. Kettenring, 2006. "The Practice of Cluster Analysis," Journal of Classification, Springer;The Classification Society, vol. 23(1), pages 3-30, June.
    5. J. Hartigan, 1985. "Statistical theory in clustering," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 63-76, December.
    6. H. Bock, 1985. "On some significance tests in cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 77-108, December.
    7. Mingjin Yan & Keying Ye, 2007. "Determining the Number of Clusters Using the Weighted Gap Statistic," Biometrics, The International Biometric Society, vol. 63(4), pages 1031-1037, December.
    8. I. T. Jolliffe, 1972. "Discarding Variables in a Principal Component Analysis. I: Artificial Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 21(2), pages 160-173, June.
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