Nonmetric multidimensional scaling: A numerical method

We describe the numerical methods required in our approach to multi-dimensional scaling. The rationale of this approach has appeared previously.

[1]  Constance Van Eeden.  Maximum Likelihood Estimation of Partially or Completely Ordered Parameters 1)1)Report SP 52 of the Statistical Department of the Mathematical Centre, Amsterdam.. I , 1957 .

[2]  Constance van Eeden,et al.  Note on two Methods for Estimating Ordered Parameters of Probability Distributions 1)1)Report SP 55 of the Statistical Department of the Mathematical Centre, Amsterdam. , 1957 .

[3]  Constance Van Eeden,et al.  Maximum Likelihood Estimation of Partially or Completely Ordered Parameters. II , 1957 .

[4]  D. J. Bartholomew,et al.  A TEST OF HOMOGENEITY FOR ORDERED ALTERNATIVES. II , 1959 .

[5]  Paul Hildebrandt,et al.  Radix Exchange—An Internal Sorting Method for Digital Computers , 1959, JACM.

[6]  R. E. Miles.  THE COMPLETE AMALGAMATION INTO BLOCKS, BY WEIGHTED MEANS, OF A FINITE SET OF REAL NUMBERS , 1959 .

[7]  S. Fomin,et al.  Elements of the Theory of Functions and Functional Analysis , 1961 .

[8]  Colin L. Mallows,et al.  The Randomization Bases of the Problem of the Amalgamation of Weighted Means , 1961 .

[9]  D. J. Bartholomew,et al.  A Test of Homogeneity of Means Under Restricted Alternatives , 1961 .

[10]  H. Spang.  A Review of Minimization Techniques for Nonlinear Functions , 1962 .

[11]  R. Shepard.  The analysis of proximities: Multidimensional scaling with an unknown distance function. II , 1962 .

[12]  J. Kruskal.  Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis , 1964 .