Nonmetric multidimensional scaling: A numerical method
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We describe the numerical methods required in our approach to multi-dimensional scaling. The rationale of this approach has appeared previously.
KeywordsLocal Minimum Steep Descent Configuration Space Active Block Nonmetric Multidimensional Scaling
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- Barton, D. E. and Mallows, C. L. The randomization bases of the amalgamation of weighted means.J. roy. statist. Soc., Series B, 1961,23, 423–433.Google Scholar
- Bartholomew, D. J. A test of homogeneity of means under restricted alternatives (with discussion).J. roy. statist. Soc., Series B, 1961,23, 239–281.Google Scholar
- Hardy, G. H., Littlewood, J. E., and Polya, G.Inequalities. (2nd ed.) Cambridge, Eng.: Cambridge Univ. Press, 1952.Google Scholar
- Kolmogorov, A. N. and Fomin, S. V.Elements of the theory of functions and functional analysis. Vol. 1.Metric and normed spaces. Translated from the first (1954) Russian Edition by Leo F. Boron, Rochester, N. Y., Graylock Press, 1957.Google Scholar
- van Eeden, C. Maximum likelihood estimation of partially or completely ordered parameters, I.Proc. Akademie van Wetenschappen, Series A, 1957,60, 128–136.Google Scholar
- van Eeden, C. Note on two methods for estimating ordered parameters of probability distributions.Proc. Akademie van Wetenschappen, Series A, 1957,60, 506–512.Google Scholar
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