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A branch-and-bound algorithm for fitting anti-robinson structures to symmetric dissimilarity matrices

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  • Michael Brusco

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  • 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.
    • Handle: RePEc:spr:psycho:v:67:y:2002:i:3:p:459-471
    DOI: 10.1007/BF02294996
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    References listed on IDEAS

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    1. L. Hubert & R. Golledge, 1981. "Matrix reorganization and dynamic programming: Applications to paired comparisons and unidimensional seriation," Psychometrika, Springer;The Psychometric Society, vol. 46(4), pages 429-441, December.
    2. Lawrence Hubert & Phipps Arabie & Jacqueline Meulman, 1998. "Graph-theoretic representations for proximity matrices through strongly-anti-Robinson or circular strongly-anti-Robinson matrices," Psychometrika, Springer;The Psychometric Society, vol. 63(4), pages 341-358, December.
    3. Lawrence Hubert & Phipps Arabie, 1995. "The approximation of two-mode proximity matrices by sums of order-constrained matrices," Psychometrika, Springer;The Psychometric Society, vol. 60(4), pages 573-605, December.
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    Citations

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    Cited by:

    1. Michael Brusco & Stephanie Stahl, 2005. "Optimal Least-Squares Unidimensional Scaling: Improved Branch-and-Bound Procedures and Comparison to Dynamic Programming," Psychometrika, Springer;The Psychometric Society, vol. 70(2), pages 253-270, June.
    2. Michael Brusco & Renu Singh & Douglas Steinley, 2009. "Variable Neighborhood Search Heuristics for Selecting a Subset of Variables in Principal Component Analysis," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 705-726, December.
    3. Köhn, Hans-Friedrich, 2010. "Representation of individual differences in rectangular proximity data through anti-Q matrix decomposition," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2343-2357, October.
    4. V. Choulakian, 2006. "Taxicab Correspondence Analysis," Psychometrika, Springer;The Psychometric Society, vol. 71(2), pages 333-345, June.
    5. 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.
    6. Michael J. Brusco & Douglas Steinley & Ashley L. Watts, 2022. "Disentangling relationships in symptom networks using matrix permutation methods," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 133-155, March.

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