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\begin{thebibliography}{}\bibitem[Fritzke, 1994]{Fritzke94a}Fritzke, B. (1994).\newblock \htmladdnormallink{Fast learning with incremental {RBF} networks}{http://www.neuroinformatik.ruhr-uni-bochum.de/ini/PEOPLE/fritzke/p%apers/fritzke.incremental_rbf.ps.gz}.\newblock {\em Neural Processing Letters}, 1(1):2--5.\bibitem[Fritzke, 1995a]{Fritzke95}Fritzke, B. (1995a).\newblock \htmladdnormallink{A growing neural gas network learns topologies}{http://www.neuroinformatik.ruhr-uni-bochum.de/ini/PEOPLE/fritzke%/papers/fritzke.nips94.ps.gz}.\newblock In Tesauro, G., Touretzky, D.~S., and Leen, T.~K., editors, {\em Advances in Neural Information Processing Systems 7}, pages 625--632. MIT Press, Cambridge MA.\bibitem[Fritzke, 1995b]{Fritzke95b}Fritzke, B. (1995b).\newblock \htmladdnormallink{Growing grid -- a self-organizing network with constant neighborhood range and adaptation strength}{ftp://ftp.neuroinformatik.ruhr-uni-bochum.de/pub/outgoing/fritzke/%papers/fritzke.growing_grid.ps.gz}.\newblock {\em Neural Processing Letters}, 2(5):9--13.\bibitem[Fritzke, 1997a]{Fritzke97b}Fritzke, B. (1997a).\newblock \htmladdnormallink{A self-organizing network that can follow non-stationary distributions}{ftp://ftp.neuroinformatik.ruhr-uni-bochum.de/pub/outgoing/fri%tzke/papers/fritzke.icann97.ps.gz}.\newblock In {\em ICANN'97: International Conference on Artificial Neural Networks}, pages 613--618. Springer.\bibitem[Fritzke, 1997b]{Fritzke97a}Fritzke, B. (1997b).\newblock \htmladdnormallink{The {LBG-U} method for vector quantization - an improvement over {LBG} inspired from neural networks}{ftp://ftp.neuroinformatik.ruhr-uni-bochum.de/pub/manuscripts/IRINI%/irini97-01/irini97-01.ps.gz}.\newblock {\em Neural Processing Letters}, 5(1).\bibitem[Kohonen, 1982]{Kohonen82b}Kohonen, T. (1982).\newblock Self-organized formation of topologically correct feature maps.\newblock {\em Biological Cybernetics}, 43:59--69.\bibitem[Linde et~al., 1980]{Linde80}Linde, Y., Buzo, A., and Gray, R.~M. (1980).\newblock An algorithm for vector quantizer design.\newblock {\em IEEE Transactions on Communication}, COM-28:84--95.\bibitem[MacQueen, 1967]{MacQueen67}MacQueen, J. (1967).\newblock Some methods for classification and analysis of multivariate observations.\newblock In LeCam, L. and Neyman, J., editors, {\em Proceedings of the Fifth Berkeley Symposium on Mathematical statistics and probability}, volume~1, pages 281--297, Berkeley. University of California Press.\bibitem[Martinetz, 1993]{Martinetz93}Martinetz, T.~M. (1993).\newblock Competitive {Hebbian} learning rule forms perfectly topology preserving maps.\newblock In {\em ICANN'93: International Conference on Artificial Neural Networks}, pages 427--434, Amsterdam. Springer.\bibitem[Martinetz and Schulten, 1991]{Martinetz91}Martinetz, T.~M. and Schulten, K.~J. (1991).\newblock A ``neural-gas'' network learns topologies.\newblock In Kohonen, T., M{\"a}kisara, K., Simula, O., and Kangas, J., editors, {\em Artificial Neural Networks}, pages 397--402. North-Holland, Amsterdam.\bibitem[Martinetz and Schulten, 1994]{Martinetz94}Martinetz, T.~M. and Schulten, K.~J. (1994).\newblock Topology representing networks.\newblock {\em Neural Networks}, 7(3):507--522.\end{thebibliography}
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