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34

IJCNN
2000
IEEE

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The Growing Hierarchical Self-Organizing Map

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The Growing Hierarchical Self-Organizing Map

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In this paper we present the growing hierarchical self-organizing map. This dynamically growing neural network model evolves into a hierarchical structure according to the requirements of the input data during an unsupervised training process. We demonstrate the beneﬁts of this novel neural network model by organizing a real-world document collection according to their similarities.

Michael Dittenbach, Dieter Merkl, Andreas Rauber

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Added	31 Jul 2010
Updated	31 Jul 2010
Type	Conference
Year	2000
Where	IJCNN
Authors	Michael Dittenbach, Dieter Merkl, Andreas Rauber

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