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Similarity-First Search : A New Algorithm With Application to Robinsonian Matrix Recognition

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  • Laurent, Monique

    (Tilburg University, School of Economics and Management)

  • Seminaroti, Matteo

    (Tilburg University, School of Economics and Management)

Abstract

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Suggested Citation

  • Laurent, Monique & Seminaroti, Matteo, 2016. "Similarity-First Search : A New Algorithm With Application to Robinsonian Matrix Recognition," Other publications TiSEM 8468be57-ed46-400c-9c0e-7, Tilburg University, School of Economics and Management.
  • Handle: RePEc:tiu:tiutis:8468be57-ed46-400c-9c0e-7d316f21f8c8
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    File URL: https://pure.uvt.nl/ws/portalfiles/portal/12998465/Monique_Laurent.pdf
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    References listed on IDEAS

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    1. Victor Chepoi & Bernard Fichet & Morgan Seston, 2009. "Seriation in the Presence of Errors: NP-Hardness of l ∞ -Fitting Robinson Structures to Dissimilarity Matrices," Journal of Classification, Springer;The Classification Society, vol. 26(3), pages 279-296, December.
    2. Pascal Préa & Dominique Fortin, 2014. "An Optimal Algorithm To Recognize Robinsonian Dissimilarities," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 351-385, October.
    3. Hahsler, Michael & Hornik, Kurt & Buchta, Christian, 2008. "Getting Things in Order: An Introduction to the R Package seriation," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i03).
    4. Victor Chepoi & Bernard Fichet, 1997. "Recognition of Robinsonian dissimilarities," Journal of Classification, Springer;The Classification Society, vol. 14(2), pages 311-325, September.
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    Cited by:

    1. Laurent, Monique & Seminaroti, M. & Tanigawa, Shin-ichi, 2017. "A structural characterization for certifying robinsonian matrices," Other publications TiSEM 5ecebfb8-804e-4267-8c12-b, Tilburg University, School of Economics and Management.
    2. Çela, Eranda & Deineko, Vladimir & Woeginger, Gerhard J., 2018. "New special cases of the Quadratic Assignment Problem with diagonally structured coefficient matrices," European Journal of Operational Research, Elsevier, vol. 267(3), pages 818-834.

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