Abstract
This paper introduces a new growing neural network for pattern detection which bears certain resemblances to the growing neural gas network suggested by Pritzke (1995) [2]. However, the algorithm at hand is more parsimonious with respect to the number of parameters to be specified a priori. Thus it is largely autonomous regarding the data-driven construction of the final network topology which unburdens the user significantly. To demonstrate its performance and adaptability the new algorithm is applied to real classification tasks in lifestyle analysis and media usage analysis.
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© 2005 Springer-Verlag Berlin Heidelberg
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Decker, R., Hermelbracht, A. (2005). Pattern Detection with Growing Neural Networks — An Application to Marketing and Library Data. In: Fleuren, H., den Hertog, D., Kort, P. (eds) Operations Research Proceedings 2004. Operations Research Proceedings, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27679-3_29
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DOI: https://doi.org/10.1007/3-540-27679-3_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24274-1
Online ISBN: 978-3-540-27679-1
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