Better initial configurations for metric multidimensional scaling

@article{Malone2002BetterIC,
  title={Better initial configurations for metric multidimensional scaling},
  author={S. Malone and Pablo A. Tarazaga and M. Trosset},
  journal={Comput. Stat. Data Anal.},
  year={2002},
  volume={41},
  pages={143-156}
}
  • S. Malone, Pablo A. Tarazaga, M. Trosset
  • Published 2002
  • Computer Science, Mathematics
  • Comput. Stat. Data Anal.
  • Multidimensional scaling (MDS) is a collection of data analytic techniques for constructing configurations of points from dissimilarity information about interpoint distances. Two popular measures of how well the constructed distances fit the observed dissimilarities are the raw stress and sstress criteria, each of which must be minimized by numerical optimization. Because iterative procedures for numerical optimization typically find local minimizers that may not be global minimizers, the… CONTINUE READING

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