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  String Averages and Self-Organizing Maps for Strings (2000) [4 citations — 1 self]

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by Igor Fischer, Andreas Zell
Proceedings of the Neural Computation 2000, Canada / Switzerland, ICSC
http://www-ra.informatik.uni-tuebingen.de/mitarb/zell/../../publikationen/2000/stringSOM.ps.gz
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Abstract:

In a recent paper, T. Kohonen and P. Somervuo have shown that selforganizing maps (SOMs) are not restricted to numerical data. They can also be defined for symbol strings, provided that one defines an average function for strings and that the adaptation process is performed off-line (batch). In this paper, we present two different methods for computing averages of strings, as well as an on-line version of the self-organizing map for strings. Both methods for computing averages are faster than the original one used by Kohonen and Somervuo, and one of them is suitable for on-line computation. Keywords---Self-organizing map; String average; String clustering.

Citations

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130 Introduction to Computational Molecular Biology – Setubal, Meidanis - 1997
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95 The string to string correction problem – Wagner, Fischer - 1974
72 An improved algorithm for approximate string matching – Galil, Park - 1990
6 Self-organizing maps of symbol strings, Neurocomputing 21 – Kohonen, Somervuo - 1998
3 String Searching Algorithms – Stepen - 1994
1 Statisticka teorija i primjena, Tehnicka knjiga – Pavlic - 1988
1 Pattern Recognition Letters 3 – Kohonen, Strings - 1985