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Multidimensional scaling. [PDF]
Wiley Interdiscip Rev Cogn Sci, 2013 AbstractThe concept of similarity, or a sense of ‘sameness’ among things, is pivotal to theories in the cognitive sciences and beyond. Similarity, however, is a difficult thing to measure. Multidimensional scaling (MDS) is a tool by which researchers can obtain quantitative estimates of similarity among groups of items.
Hout MC, Papesh MH, Goldinger SD.
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More on Multidimensional Scaling and Unfolding in R: smacof Version 2
Journal of Statistical Software, 2022 The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R. Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features
Patrick Mair +2 more
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Multidimensional Scaling of Cognitive Ability and Academic Achievement Scores [PDF]
Journal of Intelligence, 2022 Multidimensional scaling (MDS) was used as an alternate multivariate procedure for investigating intelligence and academic achievement test score correlations. Correlation coefficients among Wechsler Intelligence Scale for Children, Fifth Edition (WISC-5)
Em M. Meyer, Matthew R. Reynolds
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Multidimensional Scaling by Majorization: A Review
Journal of Statistical Software, 2016 A major breakthrough in the visualization of dissimilarities between pairs of objects was the formulation of the least-squares multidimensional scaling (MDS) model as defined by the Stress function.
Patrick J. F. Groenen +1 more
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Spectral multidimensional scaling. [PDF]
Proc Natl Acad Sci U S A, 2013 Significance Scientific theories describe observations by equations with a small number of parameters or dimensions. Memory and computational efficiency of dimension reduction procedures is a function of the size of the observed data. Sparse local operators that involve almost linear complexity, and faithful multiscale models with quadratic ...
Aflalo Y, Kimmel R.
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Multidimensional Scaling Visualization Using Parametric Similarity Indices
Entropy, 2015 In this paper, we apply multidimensional scaling (MDS) and parametric similarity indices (PSI) in the analysis of complex systems (CS). Each CS is viewed as a dynamical system, exhibiting an output time-series to be interpreted as a manifestation of its ...
J. A. Tenreiro Machado +2 more
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, 2016 Although the assignment was to write a note about the famous, highly cited Kruskal 1964 papers, it would hardly be fair if the topic wasn’t described in the context of two other papers, being Shepard’s 1962 papers (with 2309 citations in Google Scholar ...
J. Meulman
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Analysis of world economic variables using multidimensional scaling. [PDF]
PLoS ONE, 2015 Waves of globalization reflect the historical technical progress and modern economic growth. The dynamics of this process are here approached using the multidimensional scaling (MDS) methodology to analyze the evolution of GDP per capita, international ...
J A Tenreiro Machado +1 more
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Sparse Bayesian multidimensional scaling(s). [PDF]
Comput StatSheth A, Smith A, Holbrook AJ.
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