Verifying the proximity hypothesis for self-organizing maps

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The Kohonen Self-Organizing Map (SOM) is an unsupervised learning technique for summarizing high-dimensional data. When applied to textual data, SOM has been shown to be able to group together related concepts in a data collection. This article presents research in which we sought to validate this property of SOM, called the Proximity Hypothesis. We demonstrated that the Kohonen SOM was able to perform concept clustering effectively, based on its concept precision and recall scores judged by human experts. We believe this research has established the Kohonen SOM algorithm a promising textual classification technique for addressing the long-standing `information overload' problem.

Original languageEnglish (US)
Title of host publicationProceedings of the Hawaii International Conference on System Sciences
PublisherIEEE Comp Soc
Pages33
Number of pages1
StatePublished - 1999
EventProceedings of the 1999 32nd Annual Hawaii International Conference on System Sciences, HICSS-32 - Maui, HI, USA
Duration: Jan 5 1999Jan 8 1999

Other

OtherProceedings of the 1999 32nd Annual Hawaii International Conference on System Sciences, HICSS-32
CityMaui, HI, USA
Period1/5/991/8/99

Fingerprint

Self organizing maps
Unsupervised learning

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering

Cite this

Lin, C., Chen, H., & Nunamaker, J. F. (1999). Verifying the proximity hypothesis for self-organizing maps. In Proceedings of the Hawaii International Conference on System Sciences (pp. 33). IEEE Comp Soc.

Verifying the proximity hypothesis for self-organizing maps. / Lin, Chienting; Chen, Hsinchun; Nunamaker, Jay F.

Proceedings of the Hawaii International Conference on System Sciences. IEEE Comp Soc, 1999. p. 33.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lin, C, Chen, H & Nunamaker, JF 1999, Verifying the proximity hypothesis for self-organizing maps. in Proceedings of the Hawaii International Conference on System Sciences. IEEE Comp Soc, pp. 33, Proceedings of the 1999 32nd Annual Hawaii International Conference on System Sciences, HICSS-32, Maui, HI, USA, 1/5/99.
Lin C, Chen H, Nunamaker JF. Verifying the proximity hypothesis for self-organizing maps. In Proceedings of the Hawaii International Conference on System Sciences. IEEE Comp Soc. 1999. p. 33
Lin, Chienting ; Chen, Hsinchun ; Nunamaker, Jay F. / Verifying the proximity hypothesis for self-organizing maps. Proceedings of the Hawaii International Conference on System Sciences. IEEE Comp Soc, 1999. pp. 33
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