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Discussion of a set of points in terms of their mutual distances

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Cited by:

  1. He Shi & Qingna Li, 2023. "A facial reduction approach for the single source localization problem," Journal of Global Optimization, Springer, vol. 87(2), pages 831-855, November.
  2. Joseph Woelfel, 2020. "Convergences in cognitive science, social network analysis, pattern recognition and machine intelligence as dynamic processes in non-Euclidean space," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 263-278, February.
  3. J. Carroll, 1985. "Review," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 133-140, March.
  4. Kuroda, Kaori & Hashiguchi, Hiroki & Fujiwara, Kantaro & Ikeguchi, Tohru, 2014. "Reconstruction of network structures from marked point processes using multi-dimensional scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 194-204.
  5. Fengzhen Zhai & Qingna Li, 2020. "A Euclidean distance matrix model for protein molecular conformation," Journal of Global Optimization, Springer, vol. 76(4), pages 709-728, April.
  6. Jacqueline Meulman, 1992. "The integration of multidimensional scaling and multivariate analysis with optimal transformations," Psychometrika, Springer;The Psychometric Society, vol. 57(4), pages 539-565, December.
  7. Yoshio Takane & Henk Kiers & Jan Leeuw, 1995. "Component analysis with different sets of constraints on different dimensions," Psychometrika, Springer;The Psychometric Society, vol. 60(2), pages 259-280, June.
  8. Michael W. Trosset, 2002. "Extensions of Classical Multidimensional Scaling via Variable Reduction," Computational Statistics, Springer, vol. 17(2), pages 147-163, July.
  9. Zha, Hongyuan & Zhang, Zhenyue, 2007. "Continuum Isomap for manifold learnings," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 184-200, September.
  10. Cornelius Fritz & Göran Kauermann, 2022. "On the interplay of regional mobility, social connectedness and the spread of COVID‐19 in Germany," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 400-424, January.
  11. A. Y. Alfakih, 2017. "Universal rigidity of bar frameworks via the geometry of spectrahedra," Journal of Global Optimization, Springer, vol. 67(4), pages 909-924, April.
  12. Małgorzata Poniatowska-Jaksch, 2021. "Energy Consumption in Central and Eastern Europe (CEE) Households in the Platform Economics," Energies, MDPI, vol. 14(4), pages 1-22, February.
  13. Maarten M. Kampert & Jacqueline J. Meulman & Jerome H. Friedman, 2017. "rCOSA: A Software Package for Clustering Objects on Subsets of Attributes," Journal of Classification, Springer;The Classification Society, vol. 34(3), pages 514-547, October.
  14. Joseph Woelfel & Kenton Bruce Anderson & Asa Iacobucci, 2024. "What are emotions and how many are there?," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5483-5502, December.
  15. Qian Zhang & Xinyuan Zhao & Chao Ding, 2021. "Matrix optimization based Euclidean embedding with outliers," Computational Optimization and Applications, Springer, vol. 79(2), pages 235-271, June.
  16. Joseph Woelfel & Edward L. Fink & Deborah A. Cai & Kenton Anderson & Asa Iacobucci & Hua Wang, 2024. "Inertia in cognitive processes: the case of the COVID-19 vaccine," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(2), pages 1147-1161, April.
  17. Nathanaël Randriamihamison & Nathalie Vialaneix & Pierre Neuvial, 2021. "Applicability and Interpretability of Ward’s Hierarchical Agglomerative Clustering With or Without Contiguity Constraints," Journal of Classification, Springer;The Classification Society, vol. 38(2), pages 363-389, July.
  18. François Bavaud, 2011. "On the Schoenberg Transformations in Data Analysis: Theory and Illustrations," Journal of Classification, Springer;The Classification Society, vol. 28(3), pages 297-314, October.
  19. Francis Caillez & Pascale Kuntz, 1996. "A contribution to the study of the metric and Euclidean structures of dissimilarities," Psychometrika, Springer;The Psychometric Society, vol. 61(2), pages 241-253, June.
  20. Peter Ilic, 2015. "The Effects of Mobile Collaborative Activities in a Second Language Course," International Journal of Mobile and Blended Learning (IJMBL), IGI Global, vol. 7(4), pages 1-22, October.
  21. Malone, Samuel W. & Tarazaga, Pablo & Trosset, Michael W., 2002. "Better initial configurations for metric multidimensional scaling," Computational Statistics & Data Analysis, Elsevier, vol. 41(1), pages 143-156, November.
  22. Aurea Grané & Rosario Romera, 2018. "On Visualizing Mixed-Type Data," Sociological Methods & Research, , vol. 47(2), pages 207-239, March.
  23. A.H. Al-Ibrahim, 2015. "The Analysis of Multivariate Data Using Semi-Definite Programming," Journal of Classification, Springer;The Classification Society, vol. 32(3), pages 382-413, October.
  24. Luwan Zhang & Grace Wahba & Ming Yuan, 2016. "Distance shrinkage and Euclidean embedding via regularized kernel estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 849-867, September.
  25. W. Alan Nicewander & Joseph Lee Rodgers, 2022. "Obituary: Bruce McArthur Bloxom 1938–2020," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1042-1044, September.
  26. Joseph Zinnes & David MacKay, 1983. "Probabilistic multidimensional scaling: Complete and incomplete data," Psychometrika, Springer;The Psychometric Society, vol. 48(1), pages 27-48, March.
  27. Trosset, Michael W. & Priebe, Carey E., 2008. "The out-of-sample problem for classical multidimensional scaling," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4635-4642, June.
  28. Panpan Yu & Qingna Li, 2018. "Ordinal Distance Metric Learning with MDS for Image Ranking," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(01), pages 1-19, February.
  29. Paul F. V. Wiemann & Matthias Katzfuss, 2023. "Bayesian Nonparametric Generative Modeling of Large Multivariate Non-Gaussian Spatial Fields," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(4), pages 597-617, December.
  30. Si-Tong Lu & Miao Zhang & Qing-Na Li, 2020. "Feasibility and a fast algorithm for Euclidean distance matrix optimization with ordinal constraints," Computational Optimization and Applications, Springer, vol. 76(2), pages 535-569, June.
  31. Samuel Messick, 1956. "An empirical evaluation of multidimensional successive intervals," Psychometrika, Springer;The Psychometric Society, vol. 21(4), pages 367-375, December.
  32. Chao Ding & Hou-Duo Qi, 2017. "Convex Euclidean distance embedding for collaborative position localization with NLOS mitigation," Computational Optimization and Applications, Springer, vol. 66(1), pages 187-218, January.
  33. Alberto Santini & Michael Schneider & Thibaut Vidal & Daniele Vigo, 2023. "Decomposition Strategies for Vehicle Routing Heuristics," INFORMS Journal on Computing, INFORMS, vol. 35(3), pages 543-559, May.
  34. Sheng-Shiung Wu & Sing-Jie Jong & Kai Hu & Jiann-Ming Wu, 2021. "Learning Neural Representations and Local Embedding for Nonlinear Dimensionality Reduction Mapping," Mathematics, MDPI, vol. 9(9), pages 1-18, April.
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