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Taxicab Correspondence Analysis

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  • V. Choulakian

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  • V. Choulakian, 2006. "Taxicab Correspondence Analysis," Psychometrika, Springer;The Psychometric Society, vol. 71(2), pages 333-345, June.
    • Handle: RePEc:spr:psycho:v:71:y:2006:i:2:p:333-345
    DOI: 10.1007/s11336-004-1231-4
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    References listed on IDEAS

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    1. Gintaras Palubeckis, 1997. "A Branch-and-Bound Approach Using Polyhedral Results for a Clustering Problem," INFORMS Journal on Computing, INFORMS, vol. 9(1), pages 30-42, February.
    2. B.J. Os & J.J. Meulman, 2004. "Improving Dynamic Programming Strategies for Partitioning," Journal of Classification, Springer;The Classification Society, vol. 21(2), pages 207-230, September.
    3. Michael Brusco, 2002. "A branch-and-bound algorithm for fitting anti-robinson structures to symmetric dissimilarity matrices," Psychometrika, Springer;The Psychometric Society, vol. 67(3), pages 459-471, September.
    4. Robert E. Jensen, 1969. "A Dynamic Programming Algorithm for Cluster Analysis," Operations Research, INFORMS, vol. 17(6), pages 1034-1057, December.
    5. Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 325-342, September.
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    Cited by:

    1. V. Choulakian, 2008. "Taxicab Correspondence Analysis of Contingency Tables with One Heavyweight Column," Psychometrika, Springer;The Psychometric Society, vol. 73(2), pages 309-319, June.
    2. Das, Subasish & Tawhidur Rahman, Md & Kabir, Nuzhat & Oviedo-Trespalacios, Oscar & Dey, Kakan & Mahmud Hossain, Md, 2023. "Do people act differently while using ridesharing services with children?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    3. Bernard Fichet, 2009. "Metrics of L p -type and distributional equivalence principle," 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 305-314, December.

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