A novel neural network technique for exploratory data analysis

David Lowe, Michael E Tipping

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper surveys the context of feature extraction by neural network approaches, and compares and contrasts their behaviour as prospective data visualisation tools in a real world problem. We also introduce and discuss a hybrid approach which allows us to control the degree of discriminatory and topographic information in the extracted feature space.
Original languageEnglish
Title of host publicationProceedings of International Conference on Artificial Neural Networks '95
Place of PublicationParis
PublisherEC2 et Cie
Pages339-344
Number of pages6
Volume1
ISBN (Print)2-910085-19-8
Publication statusPublished - 1995
EventProceedings of ICANN '95 (Scientific Conference) - Paris, France
Duration: 1 Jan 19951 Jan 1995

Conference

ConferenceProceedings of ICANN '95 (Scientific Conference)
CountryFrance
CityParis
Period1/01/951/01/95

Keywords

  • neural network approaches
  • data visualisation tools
  • discriminatory and topographic information

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  • Cite this

    Lowe, D., & Tipping, M. E. (1995). A novel neural network technique for exploratory data analysis. In Proceedings of International Conference on Artificial Neural Networks '95 (Vol. 1, pp. 339-344). EC2 et Cie.