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A Dissimilarity-based approach for Classification

Author

Listed:
  • Carrizosa, E.

    (Externe publicaties SBE)

  • Martin-Barragán, B.
  • Plastria, F.
  • Romero Morales, M.D.

    (Quantitative Economics)

Abstract

No abstract is available for this item.

Suggested Citation

  • Carrizosa, E. & Martin-Barragán, B. & Plastria, F. & Romero Morales, M.D., 2002. "A Dissimilarity-based approach for Classification," Research Memorandum 027, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    • Handle: RePEc:unm:umamet:2002027
    DOI: 10.26481/umamet.2002027
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    References listed on IDEAS

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    1. Mihoko V. Bennett & Thomas R. Willemain, 2004. "The Filtered Nearest Neighbor Method for Generating Low-Discrepancy Sequences," INFORMS Journal on Computing, INFORMS, vol. 16(1), pages 68-72, February.
    2. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    3. Hansen, Pierre & Mladenovic, Nenad, 2001. "Variable neighborhood search: Principles and applications," European Journal of Operational Research, Elsevier, vol. 130(3), pages 449-467, May.
    4. Freed, Ned & Glover, Fred, 1981. "Simple but powerful goal programming models for discriminant problems," European Journal of Operational Research, Elsevier, vol. 7(1), pages 44-60, May.
    5. Willy Gochet & Antonie Stam & V. Srinivasan & Shaoxiang Chen, 1997. "Multigroup Discriminant Analysis Using Linear Programming," Operations Research, INFORMS, vol. 45(2), pages 213-225, April.
    6. Plastria, Frank, 2002. "Formulating logical implications in combinatorial optimisation," European Journal of Operational Research, Elsevier, vol. 140(2), pages 338-353, July.
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