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Volumn 1112 LNCS, Issue , 1996, Pages 809-814

Comparing self-organizing maps

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; SENSITIVITY ANALYSIS; CLUSTERING ALGORITHMS; CONFORMAL MAPPING;

EID: 84902156599     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61510-5_136     Document Type: Conference Paper
Times cited : (123)

References (10)
  • 1
    • 0026898892 scopus 로고
    • Quantifying the neighborhood preservation of self- organizing feature maps
    • Bauer, H.-U., Pawelzik, K. R.: Quantifying the neighborhood preservation of self- organizing feature maps. IEEE Tr. Neural Networks 3 (1992) 570-579.
    • (1992) IEEE Tr. Neural Networks , vol.3 , pp. 570-579
    • Bauer, H.-U.1    Pawelzik, K.R.2
  • 2
    • 0001863796 scopus 로고    scopus 로고
    • Exploratory data analysis by the self-organizing map: Structures of welfare and poverty in the world
    • World Scientific (to appear)
    • Kaski, S., Kohonen, T.: Exploratory data analysis by the self-organizing map: Structures of welfare and poverty in the world. In Neural Networks in the Capital Markets, World Scientific (to appear).
    • Neural Networks in the Capital Markets
    • Kaski, S.1    Kohonen, T.2
  • 4
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen, T.: Self-organized formation of topologically correct feature maps. Biol. Cybern. 43 (1982) 59-69.
    • (1982) Biol. Cybern. , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 6
    • 80054717897 scopus 로고
    • A non-linear projection method based on kohonen's topology preserving maps
    • IEEE Comput. Soc. Press. Los Alamitos, CA
    • Kraaijveld, M. A., Mao, J., Jain, A. K.: A non-linear projection method based on Kohonen's topology preserving maps. In Proc. 11 ICPR, 11th Int. Conf. on Pattern Recognition. IEEE Comput. Soc. Press., Los Alamitos, CA (1992) 41-45.
    • (1992) Proc. 11 ICPR, 11th Int. Conf. on Pattern Recognition , pp. 41-45
    • Kraaijveld, M.A.1    Mao, J.2    Jain, A.K.3
  • 7
    • 0028204732 scopus 로고
    • Topology representing networks
    • Martinetz, T., Schulten, K.: Topology representing networks. Neural Networks 7 (1994) 507-522.
    • (1994) Neural Networks , vol.7 , pp. 507-522
    • Martinetz, T.1    Schulten, K.2
  • 8
    • 3142551753 scopus 로고
    • Considerations of geometrical and fractal dimension of SOM to get better learning results
    • M. Marinaro and P. G. Morasso, eds, Springer, London
    • Speckmann, H., Raddatz, G., Rosenstiel., W.: Considerations of geometrical and fractal dimension of SOM to get better learning results. In M. Marinaro and P. G. Morasso, eds, Proc. ICANN94, Int. Conf. on Artificial Neural Networks. Springer, London (1994) 342-345.
    • (1994) Proc. ICANN94, Int. Conf. on Artificial Neural Networks , pp. 342-345
    • Speckmann, H.1    Raddatz, G.2    Rosenstiel, W.3
  • 9
    • 0002432308 scopus 로고
    • Kohonen's self organizing feature maps for exploratory data analysis
    • Kluwer, Dordrecht
    • Ultsch, A., Siemon, H. P.: Kohonen's self organizing feature maps for exploratory data analysis. In Proc. INNC90, Int. Neural Network Conf. Kluwer, Dordrecht (1990) 305-308.
    • (1990) Proc. INNC90, Int. Neural Network Conf. , pp. 305-308
    • Ultsch, A.1    Siemon, H.P.2
  • 10
    • 0028741321 scopus 로고
    • A new quantitative measure of topology preservation in kohonen's feature maps
    • IEEE Service Center, Piscataway, NJ
    • Villmann, T., Der, R., Martinetz, T.: A new quantitative measure of topology preservation in Kohonen's feature maps. In Proc. ICNN'94, IEEE Int. Conf. on Neural Networks. IEEE Service Center, Piscataway, NJ (1994) 645-648.
    • (1994) Proc. ICNN'94, IEEE Int. Conf. on Neural Networks , pp. 645-648
    • Villmann, T.1    Der, R.2    Martinetz, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.