Graph-theoretic representations for proximity matrices through strongly-anti-Robinson or circular strongly-anti-Robinson matrices
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DOI: 10.1007/BF02294859
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- 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.
- 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.
- Michael Brusco, 2007. "Hubert, L., Arabie, P., & Meulman, J. (2006). The structural representation of proximity matrices with MATLAB. Philadelphia: SIAM. xvi+214 pp. US$79.00. ISBN 0898716071," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 655-656, December.
- 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.
- Donatella Vicari & Maurizio Vichi, 2009. "Structural Classification Analysis of Three-Way Dissimilarity Data," Journal of Classification, Springer;The Classification Society, vol. 26(2), pages 121-154, August.
- Michael Brusco & Hans-Friedrich Köhn & Stephanie Stahl, 2008. "Heuristic Implementation of Dynamic Programming for Matrix Permutation Problems in Combinatorial Data Analysis," Psychometrika, Springer;The Psychometric Society, vol. 73(3), pages 503-522, September.
- J.-P. Barthélemy & F. Brucker & C. Osswald, 2007. "Combinatorial optimisation and hierarchical classifications," Annals of Operations Research, Springer, vol. 153(1), pages 179-214, September.
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Keywords
least-squares matrix approximation; graphical representation; strongly-anti-Robinson; circular strongly-anti-Robinson;All these keywords.
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