A Monte Carlo evaluation of three nonmetric multidimensional scaling algorithms

DOI10.1007/BF02291222zbMath0279.62015OpenAlexW2006802962MaRDI QIDQ1843136

Ian Spence

Publication date: 1972

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02291222

Mathematics Subject Classification ID

Multivariate analysis (62H99) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Monte Carlo methods (65C05) Mathematical psychology (91E99)

Related Items (8)

The effects of random error and subsampling of dimensions on recovery of configurations by non-metric multidimensional scaling ⋮ Single subject incomplete designs for nonmetric multidimensional scaling ⋮ Interactive scaling with individual subjects ⋮ A Monte Carlo evaluation of interactive multidimensional scaling ⋮ A note on monotone polygons fitted to bivariate data ⋮ Multidimensional scaling. Some econometric applications ⋮ Statistical consistency and hypothesis testing for nonmetric multidimensional scaling ⋮ Studies in the robustness of multidimensional scaling: euclidean models and simulation studies

Cites Work

• Fitting a simplex symmetrically
• A general nonmetric technique for finding the smallest coordinate space for a configuration of points
• Nonmetric multidimensional scaling: A Monte Carlo study of the basic parameters
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Nonmetric multidimensional scaling. A numerical method
• A Review of Minimization Techniques for Nonlinear Functions
• A Comparison of Several Current Optimization Methods, and the use of Transformations in Constrained Problems
• Some distance properties of latent root and vector methods used in multivariate analysis
• A Survey of Numerical Methods for Unconstrained Optimization
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