The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Multidimensional Scaling
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis
Kruskal, J. B. (1964) · Psychometrika · doi:10.1007/bf02289565 · Cited by 7,317
Pattern Recognition and Neural Networks
Ripley, B. D. (1996) · Cambridge University Press eBooks · doi:10.1017/cbo9780511812651 · Cited by 6,459
A General Coefficient of Similarity and Some of Its Properties
Gower, J. C. (1971) · Biometrics · doi:10.2307/2528823 · Cited by 5,303
Cluster Analysis for Applications
(1973) · Elsevier eBooks · doi:10.1016/c2013-0-06161-0 · Cited by 5,080
Nonmetric Multidimensional Scaling: A Numerical Method
Kruskal, J. B. (1964) · Psychometrika · doi:10.1007/bf02289694 · Cited by 4,846
Carroll, J. D., & Chang, J.-J. (1970) · Psychometrika · doi:10.1007/bf02310791 · Cited by 4,678
A Nonlinear Mapping for Data Structure Analysis
Sammon, J. W. (1969) · IEEE Transactions on Computers · doi:10.1109/t-c.1969.222678 · Cited by 3,380
The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. I.
Shepard, R. N. (1962) · Psychometrika · doi:10.1007/bf02289630 · Cited by 2,550
Multidimensional Scaling: I. Theory and Method
Torgerson, W. S. (1952) · Psychometrika · doi:10.1007/bf02288916 · Cited by 2,126
Modern Multidimensional Scaling
Borg, I., & Groenen, P. (1997) · Springer Series in Statistics · doi:10.1007/978-1-4757-2711-1 · Cited by 1,728
Research works printed but not linked: 10
- Cox, T.F. (2005). An Introduction to Multivariate Data Analysis. Hodder Arnold, London
- Diday, E. and Simon, J.C. (1976). Clustering analysis. In: Fu, K.S. (ed) Communication and Cybernetics 10 Digital Pattern Recognition. Springer, Berlin Heidelberg New York
- Eades, P. (1984). Congressus Numerantium 42:149–160
- Eslava-Gomez, G. (1989). Projection pursuit and other graphical methods for multivariate Data. DPhil Thesis, University of Oxford, Oxford
- Everitt, B.S. and Dunn, G. (1983). Advanced Methods of Data Exploration and Modelling. Heinemann, London
- Fauquet, C., Desbois, D., Fargette, D. and Vidal, G. (1988). Classification of furoviruses based on the amino acid composition of their coat proteins. In: Cooper, J.I., Asher, M.J.C. (eds) Viruses with Fungal Vectors. Association of Applied Biologists, Edinburgh
- Greenacre, M.J. (1984). Theory and Application of Correspondence Analysis. Academic, London
- Hubert, L. and Arabie, P. (1986). Unidimensional scaling and combinatorial optimisation. In: de Leeuw, J., Heiser, W.J., Meulman, J., Critchley, F. (eds) Multidimensional Data Analysis. DSWO, Leiden
- Lau, K.N., Leung, P.L. and Tse, K.K. (1998). J Classificat 15:3–14 · doi:10.1007/s003579900017
- Sneath, P. and Sokal, R. (1973). Numerical Taxonomy. Freeman, San Francisco
Cited by
Tackling the widespread and critical impact of batch effects in high-throughput data
Leek, J. T., Scharpf, R. B., Bravo, H. C., Simcha, D., Langmead, B., Johnson, W. E., Geman, D., Baggerly, K., & Irizarry, R. A. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2825 · Cited by 2,196
A Survey of Dimension Reduction Techniques
Fodor, I. K. (2002) · doi:10.2172/15002155 · Cited by 1,116
How to normalize cooccurrence data? An analysis of some well‐known similarity measures
Eck, N. J. V., & Waltman, L. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21075 · Cited by 966
Zsóka, Á., Szerényi, Z. M., Széchy, A., & Kocsis, T. (2013) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2012.11.030 · Cited by 951
A Dynamic Model of Stress and Sustained Attention
Hancock, P. A. (1989) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872088903100503 · Cited by 874
Metadata
- Authors
- Cox, M. A. A., & Cox, T. F.
- Venue
- Handbook of Data Visualization
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Pages
- 315-347
- OpenAlex
- W4254491045
- Cited by
- 579
- References
- 36
- FWCI
- 26.12
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Multidimensional Scaling. https://app.cochat.ai/papers/10.1007/978-3-540-33037-0_14
- The paper
- Cox, M. A. A., & Cox, T. F. (2008). Multidimensional Scaling. Handbook of Data Visualization. https://doi.org/10.1007/978-3-540-33037-0_14
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.