A journey into low-dimensional spaces with autoassociative neural networks.

@article{Daszykowski2003AJI,
  title={A journey into low-dimensional spaces with autoassociative neural networks.},
  author={Michal Daszykowski and B. Walczak and Desire L. Massart},
  journal={Talanta},
  year={2003},
  volume={59 6},
  pages={1095-105}
}
The compression and the visualization of the data have been always a subject of a great deal of excitement. Since multidimensional data sets are difficult to interpret and visualize, much of the attention is drawn how to compress them efficiently. Usually, the compression of dimensionality is considered as the first step of exploratory data analysis. Here, we focus our attention on autoassociative neural networks (ANNs), which in a very elegant manner provide data compression and visualization… CONTINUE READING
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