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GEVA: geometric variability-based approaches for identifying patterns in data

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Author Info

  • Itziar Irigoien
  • Concepcion Arenas

    ()

  • Elena Fernández
  • Francisco Mestres
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    Abstract

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    File URL: http://hdl.handle.net/10.1007/s00180-009-0173-9
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    Bibliographic Info

    Article provided by Springer in its journal Computational Statistics.

    Volume (Year): 25 (2010)
    Issue (Month): 2 (June)
    Pages: 241-255

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    Handle: RePEc:spr:compst:v:25:y:2010:i:2:p:241-255

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    Web page: http://www.springerlink.com/link.asp?id=120306

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    Related research

    Keywords: Cluster algorithms; Geometric-variability; Divisive algorithm; Agglomerative algorithm; Population studies;

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    1. Cuadras, C. M. & Fortiana, J., 1995. "A Continuous Metric Scaling Solution for a Random Variable," Journal of Multivariate Analysis, Elsevier, vol. 52(1), pages 1-14, January.
    2. J. Gower & P. Legendre, 1986. "Metric and Euclidean properties of dissimilarity coefficients," Journal of Classification, Springer, vol. 3(1), pages 5-48, March.
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