The Growing Hierarchical Self-Organizing Map

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http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859366

IEEE-INNS-ENNS International Joint Co ...

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	ASCII Text	x
	Michael Dittenbach, Dieter Merkl, Andreas Rauber, "The Growing Hierarchical Self-Organizing Map," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 6, pp. 6015, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.859366, author = {Michael Dittenbach and Dieter Merkl and Andreas Rauber}, title = {The Growing Hierarchical Self-Organizing Map}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {6}, year = {2000}, issn = {1098-7576}, pages = {6015}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.859366}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - The Growing Hierarchical Self-Organizing Map SN - 1098-7576 SP EP A1 - Michael Dittenbach, A1 - Dieter Merkl, A1 - Andreas Rauber, PY - 2000 VL - 6 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

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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