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Volumn 5, Issue , 2002, Pages 2537-2541

Growing hierarchical self organising map (GHSOM) toolbox: Visualisations and enhancements

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION SCIENCE;

EID: 84971621830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1201952     Document Type: Conference Paper
Times cited : (30)

References (10)
  • 2
    • 33749054628 scopus 로고    scopus 로고
    • Using growing hierarchical self-organizing maps for document classification
    • Bruges, Belgium
    • Michael Dittenbach, Dieter Merkl, and Andreas Rauber. Using growing hierarchical self-organizing maps for document classification. In European Symposium on Artificial Neural Networks, pages 7-12, Bruges, Belgium, 2000.
    • (2000) European Symposium on Artificial Neural Networks , pp. 7-12
    • Dittenbach, M.1    Merkl, D.2    Rauber, A.3
  • 3
    • 0011812645 scopus 로고    scopus 로고
    • Recent advances with the growing hierarchical self-organizing map
    • Lincoln, UK
    • Michael Dittenbach, Andreas Rauber, and Dieter Merkl. Recent advances with the growing hierarchical self-organizing map. In Workshop on Self-Organizing Maps (WSOM'01), pages 140-145, Lincoln, UK, 2001.
    • (2001) Workshop on Self-Organizing Maps (WSOM'01) , pp. 140-145
    • Dittenbach, M.1    Rauber, A.2    Merkl, D.3
  • 5
    • 0003410791 scopus 로고    scopus 로고
    • Information Sciences. Springer, second edition
    • Teuvo Kohonen. Self-Organizing Maps. Information Sciences. Springer, second edition, 1997.
    • (1997) Self-Organizing Maps
    • Kohonen, T.1
  • 6
    • 2042525150 scopus 로고    scopus 로고
    • Uncovering the hierarchical structure of text archives by using an unsupervise neural network with adaptive architecture
    • Kyoto, Japan, Springer
    • Dieter Merkl and Andreas Rauber. Uncovering the hierarchical structure of text archives by using an unsupervise neural network with adaptive architecture. In 4th Pacific Asia Conference on Knowledge Discovery and Data Mining, pages 384-395, Kyoto, Japan, 2000. Springer.
    • (2000) 4th Pacific Asia Conference on Knowledge Discovery and Data Mining , pp. 384-395
    • Merkl, D.1    Rauber, A.2
  • 7
    • 0038376759 scopus 로고    scopus 로고
    • Content-based Organization and Visualization of Music Archives
    • Juan les Pins, France, December 1-6 ACM
    • E. Pampalk, A. Rauber, and D. Merkl. Content-based Organization and Visualization of Music Archives. In Proceedings of the ACM Multimedia, Juan les Pins, France, December 1-6 2002. ACM.
    • (2002) Proceedings of the ACM Multimedia
    • Pampalk, E.1    Rauber, A.2    Merkl, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.