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Volumn 5177 LNAI, Issue PART 1, 2008, Pages 41-48

A new SOM initialization algorithm for nonvectorial data

Author keywords

Initialization; Median SOM; Pairwise data

Indexed keywords

CONFORMAL MAPPING; KNOWLEDGE BASED SYSTEMS; SELF ORGANIZING MAPS;

EID: 57849088789     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85563-7_11     Document Type: Conference Paper
Times cited : (3)

References (10)
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  • 3
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    • Vesanto, J.1    Alhoniemi, E.2
  • 4
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    • Kohonen, T., Somervuo, P.: How to make large self-organizing maps for nonvectorial data. Neural Network, 945-952 (2002)
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    • Kohonen, T.1    Somervuo, P.2
  • 7
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    • Sammon, J.W.1
  • 8
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    • Self-organizing and self-correcting classifications of biological data
    • Garrity, G.M., Lilburn, T.G.: Self-organizing and self-correcting classifications of biological data. J. Bioinformatics 21(10), 2309-2314 (2005)
    • (2005) J. Bioinformatics , vol.21 , Issue.10 , pp. 2309-2314
    • Garrity, G.M.1    Lilburn, T.G.2
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    • Fort, J.C., Letrrmy, P., Cottrell, M.: Advantages and drawbacks of the Batch Kohonen algorithm. In: Verleysen, M. (ed.) ESANN 2002, pp. 223-230 (2002)
    • Fort, J.C., Letrrmy, P., Cottrell, M.: Advantages and drawbacks of the Batch Kohonen algorithm. In: Verleysen, M. (ed.) ESANN 2002, pp. 223-230 (2002)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.