Abstract
I introduce the T-SOM, an unsupervised neural network model based on well-known Kohonen Self-Organizing Maps. This model adds to SOM-properties the next new characteristics : a multiresolution knowledge representation, a low complexity algorithm and a simplified learning parameters tuning. A T-SOM network is a data analysis tool specially efficient in large volume data processing. The real purpose of this article is not to present one more neural network model but to show all advantages of such a hierarchical structure, both in learning and results exploitation.
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© 1997 Springer-Verlag Berlin Heidelberg
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Sauvage, V. (1997). The T-SOM (Tree-SOM). In: Sattar, A. (eds) Advanced Topics in Artificial Intelligence. AI 1997. Lecture Notes in Computer Science, vol 1342. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63797-4_92
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DOI: https://doi.org/10.1007/3-540-63797-4_92
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