摘要: The self-organizing map (SOM) is an automatic data-analysis method. It is widely applied to clustering problems and data exploration in industry, finance, natural sciences, and …
acm.org
els-cdn.com
aalto.fi 参考文章(83)
E. Alhoniemi, J. Vesanto, J. Himberg, J. Parviainen, K. Kiviluoto, Self-Organizing Map for Data Mining in MATLAB: The SOM Toolbox Simulation News Europe. ,(1999)
E Oja, J Lampinen, Self-Organizing Maps for Spatial and Temporal AR Models ,(1989)
Georges Voronoi, Nouvelles applications des paramètres continus à la théorie des formes quadratiques. Premier mémoire. Sur quelques propriétés des formes quadratiques positives parfaites. Journal für die reine und angewandte Mathematik (Crelles Journal). ,vol. 1908, pp. 97- 102 ,(1908) , 10.1515/CRLL.1908.133.97
T. Kohonen, Self-organization and associative memory: 3rd edition Springer-Verlag New York, Inc.. ,(1989)
Joseph Sirosh, Risto Miikkulainen, Yoonsuck Choe, James A. Bednar, Computational Maps in the Visual Cortex ,(2005)
Teuvo Kohonen, Self-organized formation of topologically correct feature maps Biological Cybernetics. ,vol. 43, pp. 509- 521 ,(1988) , 10.1007/BF00337288
Teuvo Kohonen, Hongbing Xing, Contextually self-organized maps of chinese words workshop on self organizing maps. pp. 16- 29 ,(2011) , 10.1007/978-3-642-21566-7_2
Terrence J. Sejnowski, Klaus Obermayer, Self-Organizing Map Formation: Foundations of Neural Computation MIT Press. ,(2001)
Advances in Self-Organizing Maps TAEBC-2009. ,(2009) , 10.1007/978-3-642-02397-2
Udo Seiffert, Lakhmi C. Jain, Self-Organizing neural networks: recent advances and applications Springer-Verlag New York, Inc.. ,(2001)