PRSOM: a new visualization method by hybridizing multidimensional scaling and self-organizing map

@article{Wu2005PRSOMAN,
  title={PRSOM: a new visualization method by hybridizing multidimensional scaling and self-organizing map},
  author={Sitao Wu and Tommy W. S. Chow},
  journal={IEEE Transactions on Neural Networks},
  year={2005},
  volume={16},
  pages={1362-1380}
}
Self-organizing map (SOM) is an approach of nonlinear dimension reduction and can be used for visualization. It only preserves topological structures of input data on the projected output space. The interneuron distances of SOM are not preserved from input space into output space such that the visualization of SOM can be degraded. Visualization-induced SOM (ViSOM) has been proposed to overcome this problem. However, ViSOM is derived from heuristic and no cost function is assigned to it. In this… CONTINUE READING

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