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Volumn 32, Issue 2-3, 2003, Pages 259-279

Enhancement of topology preservation and hierarchical dynamic self-organising maps for data visualisation

Author keywords

Clustering; Data mining; Hierarchical SOM; Self organising maps; Topology preservation; Visualisation tools

Indexed keywords

ALGORITHMS; DATA PROCESSING; ERRORS; HIERARCHICAL SYSTEMS; SELF ORGANIZING MAPS;

EID: 0037310935     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0888-613X(02)00086-5     Document Type: Article
Times cited : (32)

References (19)
  • 1
    • 0034123868 scopus 로고    scopus 로고
    • Neural networks in business: Techniques and applications for the operation researcher
    • Smith K., Gupta J. Neural networks in business: techniques and applications for the operation researcher. Computers and Operations Research. 27:2000;1023-1044.
    • (2000) Computers and Operations Research , vol.27 , pp. 1023-1044
    • Smith, K.1    Gupta, J.2
  • 4
    • 0003642575 scopus 로고    scopus 로고
    • Licentiate's Thesis, Department of Computer Science and Engineering, Helsinki University of Technology, April
    • J. Vesanto, Using SOM in data mining, Licentiate's Thesis, Department of Computer Science and Engineering, Helsinki University of Technology, April 2000.
    • (2000) Using SOM in Data Mining
    • Vesanto, J.1
  • 6
    • 12444341719 scopus 로고    scopus 로고
    • SAS, Enterprise Miner, Available from: http://www.sas.com/products/miner/index.html.
    • Enterprise Miner
  • 7
    • 0012912466 scopus 로고    scopus 로고
    • IBM, Intelligent Miner, Available from: http://www-4.ibm.com/software/data/iminer/.
    • Intelligent Miner
  • 8
    • 0012959018 scopus 로고    scopus 로고
    • Eudaptics, Viscovery SOMine, http://www.eudaptics.com/technology/somine.html.
    • Viscovery SOMine
  • 10
    • 0032784636 scopus 로고    scopus 로고
    • Neural maps and topographic vector quantisation
    • Bauer H., Herrmann M., Villmann T. Neural maps and topographic vector quantisation. Neural Networks. 12:1999;659-676.
    • (1999) Neural Networks , vol.12 , pp. 659-676
    • Bauer, H.1    Herrmann, M.2    Villmann, T.3
  • 15
    • 0012908123 scopus 로고    scopus 로고
    • Helsinki University of Technology, Laboratory of Computer and Information Science
    • T. Kohonen, J. Hynninen, J. Kangas, J. Laaksonen, K. Torkkola, Helsinki University of Technology, Laboratory of Computer and Information Science. Available from: http://www.cis.hut.fi/research/som_lvq_pak.shtml.
    • Kohonen, T.1    Hynninen, J.2    Kangas, J.3    Laaksonen, J.4    Torkkola, K.5
  • 17
    • 0003408496 scopus 로고    scopus 로고
    • University of California, Department of Information and Computer Science, Irvine, CA
    • L. Blake, C.J. Merz, UCI Repository of machine learning databases,University of California, Department of Information and Computer Science, Irvine, CA, 1998. Available from: http://www.ics.uci.edu/̃mlearn/MLRepository.html.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, L.1    Merz, C.J.2
  • 18
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher R.A. The use of multiple measurements in taxonomic problems. Ann. Eugen. 7(2):1936;179-188.
    • (1936) Ann. Eugen. , vol.7 , Issue.2 , pp. 179-188
    • Fisher, R.A.1
  • 19
    • 0028748949 scopus 로고
    • Growing cell structures - A self-organising network for unsupervised and supervised learning
    • Fritzke, Growing cell structures - A self-organising network for unsupervised and supervised learning. IEEE Transactions on Neural Networks. 7(9):1994.
    • (1994) IEEE Transactions on Neural Networks , vol.7 , Issue.9
    • Fritzke1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.