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Dissimilarity and similarity measures for comparing dendrograms and their applications

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  • Isabella Morlini

    ()

  • Sergio Zani

    ()

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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s11634-012-0106-2
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    Bibliographic Info

    Article provided by Springer in its journal Advances in Data Analysis and Classification.

    Volume (Year): 6 (2012)
    Issue (Month): 2 (July)
    Pages: 85-105

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    Handle: RePEc:spr:advdac:v:6:y:2012:i:2:p:85-105

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    Web page: http://www.springer.com/statistics/statistical+theory+and+methods/journal/11634

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    Related research

    Keywords: Cluster analysis; Consensus of classifications; Distance; Hierarchical trees; L 1 norm; Partitions; Similarity of dendrograms; Variable selection; 62;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. William Day, 1985. "Optimal algorithms for comparing trees with labeled leaves," Journal of Classification, Springer, vol. 2(1), pages 7-28, December.
    2. François-Joseph Lapointe & Pierre Legendre, 1995. "Comparison tests for dendrograms: A comparative evaluation," Journal of Classification, Springer, vol. 12(2), pages 265-282, September.
    3. Ahmed N. Albatineh & Magdalena Niewiadomska-Bugaj & Daniel Mihalko, 2006. "On Similarity Indices and Correction for Chance Agreement," Journal of Classification, Springer, vol. 23(2), pages 301-313, September.
    4. Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, Springer, vol. 2(1), pages 193-218, December.
    5. Douglas Steinley & Michael Brusco, 2008. "Selection of Variables in Cluster Analysis: An Empirical Comparison of Eight Procedures," Psychometrika, Springer, vol. 73(1), pages 125-144, March.
    6. Ahmed Albatineh & Magdalena Niewiadomska-Bugaj, 2011. "Correcting Jaccard and other similarity indices for chance agreement in cluster analysis," Advances in Data Analysis and Classification, Springer, vol. 5(3), pages 179-200, October.
    7. Fraiman, Ricardo & Justel, Ana & Svarc, Marcela, 2008. "Selection of Variables for Cluster Analysis and Classification Rules," Journal of the American Statistical Association, American Statistical Association, vol. 103(483), pages 1294-1303.
    8. Genane Youness & Gilbert Saporta, 2010. "Comparing partitions of two sets of units based on the same variables," Advances in Data Analysis and Classification, Springer, vol. 4(1), pages 53-64, April.
    9. E. Fowlkes & R. Gnanadesikan & J. Kettenring, 1988. "Variable selection in clustering," Journal of Classification, Springer, vol. 5(2), pages 205-228, September.
    10. Tadesse, Mahlet G. & Sha, Naijun & Vannucci, Marina, 2005. "Bayesian Variable Selection in Clustering High-Dimensional Data," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 602-617, June.
    11. Meila, Marina, 2007. "Comparing clusterings--an information based distance," Journal of Multivariate Analysis, Elsevier, vol. 98(5), pages 873-895, May.
    12. William Day, 1986. "Foreword: Comparison and consensus of classifications," Journal of Classification, Springer, vol. 3(2), pages 183-185, September.
    13. Matthijs Warrens, 2008. "On the Equivalence of Cohen’s Kappa and the Hubert-Arabie Adjusted Rand Index," Journal of Classification, Springer, vol. 25(2), pages 177-183, November.
    14. Michael Brusco & Douglas Steinley, 2008. "A Binary Integer Program to Maximize the Agreement Between Partitions," Journal of Classification, Springer, vol. 25(2), pages 185-193, November.
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