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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6
The Growing Hierarchical Self-Organizing Map
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
Michael Dittenbach, Technische Universit?t Wien
Dieter Merkl, Technische Universit?t Wien
Andreas Rauber, Technische Universit?t Wien
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.
Citation:
Michael Dittenbach, Dieter Merkl, Andreas Rauber, "The Growing Hierarchical Self-Organizing Map," ijcnn, vol. 6, pp.6015, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000
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