IDEAS home Printed from https://ideas.repec.org/r/jss/jstsof/v031i03.html
   My bibliography  Save this item

Multidimensional Scaling Using Majorization: SMACOF in R

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Chen, Yunxiao & Ying, Zhiliang & Zhang, Haoran, 2021. "Unfolding-model-based visualization: theory, method and applications," LSE Research Online Documents on Economics 108876, London School of Economics and Political Science, LSE Library.
  2. Evans, Gary, 2014. "Analyzing Spatial Models of Choice and Judgment with R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(b01).
  3. Štajdohar, Miha & Demšar, Janez, 2013. "Interactive Network Exploration with Orange," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i06).
  4. Ingwer Borg & Dieter Hermann & Wolfgang Bilsky, 2023. "The perceived seriousness of crimes: inter-individual commonalities and differences," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 765-784, February.
  5. José A. Tenreiro Machado & Alexandra Galhano & Daniel Cao Labora, 2021. "A Clustering Perspective of the Collatz Conjecture," Mathematics, MDPI, vol. 9(4), pages 1-14, February.
  6. Luis M. Arciniega & Laura J. Stanley & Diana Puga-Méndez & Dalia Obregón-Schael & Isaac Politi-Salame, 2019. "The Relationship Between Individual Work Values and Unethical Decision-Making and Behavior at Work," Journal of Business Ethics, Springer, vol. 158(4), pages 1133-1148, September.
  7. Jacob L. S. Bellmund & Lorena Deuker & Nicole D. Montijn & Christian F. Doeller, 2022. "Mnemonic construction and representation of temporal structure in the hippocampal formation," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
  8. Groenen, Patrick J. F. & van de Velden, Michel, 2016. "Multidimensional Scaling by Majorization: A Review," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 73(i08).
  9. John C. Gower & Niël J. Le Roux & Sugnet Gardner-Lubbe, 2022. "Properties of individual differences scaling and its interpretation," Statistical Papers, Springer, vol. 63(4), pages 1221-1245, August.
  10. 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.
  11. 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.
  12. Michael J. Greenacre & Patrick J. F. Groenen, 2016. "Weighted Euclidean Biplots," Journal of Classification, Springer;The Classification Society, vol. 33(3), pages 442-459, October.
  13. Walesiak Marek & Dudek Andrzej, 2017. "Selecting the Optimal Multidimensional Scaling Procedure for Metric Data With R Environment," Statistics in Transition New Series, Statistics Poland, vol. 18(3), pages 521-540, September.
  14. Jonatan A. González & Francisco J. Rodríguez-Cortés & Elvira Romano & Jorge Mateu, 2021. "Classification of Events Using Local Pair Correlation Functions for Spatial Point Patterns," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(4), pages 538-559, December.
  15. Aurea Grané & Alpha A. Sow-Barry, 2021. "Visualizing Profiles of Large Datasets of Weighted and Mixed Data," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
  16. Tom Everaert & Adriaan Spruyt & Jan De Houwer, 2018. "To IMPRES or to EXPRES? Exploiting comparative judgments to measure and visualize implicit and explicit preferences," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-14, January.
  17. repec:jss:jstsof:34:i10 is not listed on IDEAS
  18. Marek Walesiak & Andrzej Dudek, 2017. "Selecting The Optimal Multidimensional Scaling Procedure For Metric Data With R Environment," Statistics in Transition New Series, Polish Statistical Association, vol. 18(3), pages 521-540, September.
  19. Gruenhage, Gina & Opper, Manfred & Barthelme, Simon, 2016. "Visualizing the effects of a changing distance on data using continuous embeddings," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 51-65.
  20. Antoine Rolland & Jean-Baptiste Aubin & Irène Gannaz & Samuela Leoni, 2024. "Probabilistic models of profiles for voting by evaluation," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 63(2), pages 377-400, September.
  21. Chou, Jui-Sheng & Chien, Ya-Ling & Nguyen, Ngoc-Mai & Truong, Dinh-Nhat, 2018. "Pricing policy of floating ticket fare for riding high speed rail based on time-space compression," Transport Policy, Elsevier, vol. 69(C), pages 179-192.
  22. Christian Hennig & Willi Sauerbrei, 2019. "Exploration of the variability of variable selection based on distances between bootstrap sample results," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(4), pages 933-963, December.
  23. Funk, Patrick & Davis, Alex & Vaishnav, Parth & Dewitt, Barry & Fuchs, Erica, 2020. "Individual inconsistency and aggregate rationality: Overcoming inconsistencies in expert judgment at the technical frontier," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
  24. Theuβl, Stefan & Reutterer, Thomas & Hornik, Kurt, 2014. "How to derive consensus among various marketing journal rankings?," Journal of Business Research, Elsevier, vol. 67(5), pages 998-1006.
  25. Jose Tenreiro Machado & Alexandra M. Galhano & Carla S. Cordeiro, 2021. "Discretization of Fractional Operators: Analysis by Means of Advanced Computational Techniques," Mathematics, MDPI, vol. 9(19), pages 1-16, September.
  26. McLinden, Daniel, 2017. "And then the internet happened: Thoughts on the future of concept mapping," Evaluation and Program Planning, Elsevier, vol. 60(C), pages 293-300.
  27. Dzemyda, Gintautas & Sabaliauskas, Martynas, 2021. "Geometric multidimensional scaling: A new approach for data dimensionality reduction," Applied Mathematics and Computation, Elsevier, vol. 409(C).
  28. JA Tenreiro Machado & Maria Eugénia Mata, 2015. "Analysis of World Economic Variables Using Multidimensional Scaling," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-17, March.
  29. Angela Andreella & Riccardo Santis & Anna Vesely & Livio Finos, 2023. "Procrustes-based distances for exploring between-matrices similarity," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 867-882, September.
  30. Groenen, P.J.F. & Borg, I., 2013. "The Past, Present, and Future of Multidimensional Scaling," Econometric Institute Research Papers EI 2013-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  31. Horst Treiblmaier & Patrick Mair, 2021. "Textual Data Science for Logistics and Supply Chain Management," Logistics, MDPI, vol. 5(3), pages 1-15, August.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.