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Algorithms in Multidimensional Scaling

  • Rudolf Mathar
Conference paper

Abstract

The ideas described in this paper are motivated by a basic problem in Multidimensional Scaling which is solved not quite satisfactory up to now. Suppose that there are given pairwise dissimilarities δij, 1 ≤ i, j ≤ n, as nonnegative real numbers between n objects. These originate from the special type of application and may be, for example in cartography, measurements of pairwise distances disturbed by additive random errors or, in psychology, individual assessments of the deviation in behaviour of n persons measured on a certain real scale. There are many other applications in a variety of fields, a structured overview may be obtained from de Leeuw & Heiser (1980, 1982).

Keywords

Unit Ball Multidimensional Scaling Homogeneous Function Nonnegative Real Number Euclidean Case 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin · Heidelberg 1989

Authors and Affiliations

  • Rudolf Mathar
    • 1
  1. 1.Institute of MathematicsUniversity of AugsburgGermany

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