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Volumn 4881 LNCS, Issue , 2007, Pages 557-566

Visualization of topology representing networks

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; DATA STRUCTURES; NEURAL NETWORKS; TOPOLOGY; VECTOR QUANTIZATION;

EID: 38449090217     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77226-2_57     Document Type: Conference Paper
Times cited : (7)

References (18)
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  • 3
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    • Estévez, P.A.1    Figueroa, C.J.2
  • 4
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    • Nonlinear Projection Using Geodesic Distances and the Neural Gas Network
    • Kollias, S, Stafylopatis, A, Duch, W, Oja, E, eds, ICANN 2006, Springer, Heidelberg
    • Estévez, P.A., Chong, A.M., Held, C.M., PerezC., A.: Nonlinear Projection Using Geodesic Distances and the Neural Gas Network. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol. 4131, pp. 464-473. Springer, Heidelberg (2006)
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  • 6
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    • Analysis of a complex of statistical variables into principal components
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    • Trustworthiness and metrics in visualizing similarity of gene expression
    • Kaski, S., Nikkilä, J., Oja, M., Venna, J., Törönen, P., Castren, E.: Trustworthiness and metrics in visualizing similarity of gene expression. BMC Bioinf. 4(48) (2003)
    • (2003) BMC Bioinf , vol.4 , Issue.48
    • Kaski, S.1    Nikkilä, J.2    Oja, M.3    Venna, J.4    Törönen, P.5    Castren, E.6
  • 11
    • 0000742931 scopus 로고
    • A neural-gas network learns topologies
    • Kohonen, T, Mäkisara, K, Simula, O, Kangas, J, eds
    • Martinetz, T.M., Schulten, K.J.: A neural-gas network learns topologies. In: Kohonen, T., Mäkisara, K., Simula, O., Kangas, J. (eds.) Artificial Neural Netw., pp. 397-402 (1991)
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    • Topology representing networks
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    • Martinetz, T.M.1    Shulten, K.J.2
  • 13
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    • Unsupervised Fuzzy Clustering Using Weighted Incremental Neural Networks
    • Muhammed, H.H.: Unsupervised Fuzzy Clustering Using Weighted Incremental Neural Networks. International Journal of Neural Systems 14(6), 355-371 (2004)
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    • Dynamic topology representing networks
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    • Yin, H.: ViSOM-A novel method for multivariate data projection and structure visualisation. IEEE Trans. on Neural Networks 13, 237-243 (2002)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.