Methods for Binary Multidimensional Scaling

@article{Rohde2002MethodsFB,
  title={Methods for Binary Multidimensional Scaling},
  author={Douglas L. T. Rohde},
  journal={Neural Computation},
  year={2002},
  volume={14},
  pages={1195-1232}
}
Multidimensional scaling (MDS) is the process of transforming a set of points in a high-dimensional space to a lower-dimensional one while preserving the relative distances between pairs of points. Although effective methods have been developed for solving a variety of MDS problems, they mainly depend on the vectors in the lower-dimensional space having real-valued components. For some applications, the training of neural networks in particular, it is preferable or necessary to obtain vectors… CONTINUE READING
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