Better initial configurations for metric multidimensional scaling

@article{Malone2002BetterIC,
  title={Better initial configurations for metric multidimensional scaling},
  author={Samuel W. Malone and Pablo Tarazaga and Michael W. Trosset},
  journal={Computational Statistics & Data Analysis},
  year={2002},
  volume={41},
  pages={143-156}
}
Multidimensional scaling (MDS) is a collection of data analytic techniques for constructing con$gurations of points from dissimilarity information about interpoint distances. Two popular measures of how well the constructed distances $t 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 $nd local minimizers that may not be global minimizers, the choice… CONTINUE READING

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