Visualization Tools for Self-Organizing Maps

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

11 Scopus citations

Abstract

Various statistical and pattern recognition techniques, such as concept spaces and category maps in the Illinois Digital Library project, has been explored to solve the semantic interoperability problem in DLI-1. Self-organizing category map is identified as a powerful tool for information summarization. However, visualizing a large-scale self-organizing map in a restricted size of window is difficult. For smaller regions, displaying labels is infeasible. In this paper, two visualization tools, fisheye view and fractal view, are presented. It assists users to visualize a large-scale self-organizing map geographically and semantically.

Original languageEnglish (US)
Title of host publicationProceedings of the fourth ACM conference on Digital libraries, DL 1999
PublisherAssociation for Computing Machinery
Pages258-259
Number of pages2
ISBN (Electronic)9781581131451
ISBN (Print)1581131453
DOIs
StatePublished - Aug 1 1999
Event4th ACM conference on Digital libraries, DL 1999 - Berkeley, CA, USA
Duration: Aug 11 1999Aug 14 1999

Publication series

NameProceedings of the ACM International Conference on Digital Libraries
Volume1999-January

Conference

Conference4th ACM conference on Digital libraries, DL 1999
CityBerkeley, CA, USA
Period8/11/998/14/99

Keywords

  • clustering
  • fisheye view
  • fractal view
  • information retrieval
  • Information visualization
  • self-organizing map
  • semantic interoperability

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Information Systems
  • Library and Information Sciences

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