Exploration of very large databases by self-organizing maps

@article{Kohonen1997ExplorationOV,
  title={Exploration of very large databases by self-organizing maps},
  author={Teuvo Kohonen},
  journal={Proceedings of International Conference on Neural Networks (ICNN'97)},
  year={1997},
  volume={1},
  pages={PL1-PL6 vol.1}
}
  • T. Kohonen
  • Published 9 June 1997
  • Computer Science
  • Proceedings of International Conference on Neural Networks (ICNN'97)
This paper describes a data organization system and genuine content-addressable memory called the WEBSOM. It is a two-layer self-organizing map (SOM) architecture where documents become mapped as points on the upper map, in a geometric order that describes the similarity of their contents. By standard browsing tools one can select from the map subsets of documents that are most similar mutually. It is also possible to submit free-form queries about the wanted documents whereby the WEBSOM… 

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