Self-Organizing Maps of Massive Document Collections

I
IJCNN
2000
IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2
Abstract - Self-Organizing Maps of Massive Document Collections

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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	Teuvo Kohonen, "Self-Organizing Maps of Massive Document Collections," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 2, pp. 2003, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.857865, author = {Teuvo Kohonen}, title = {Self-Organizing Maps of Massive Document Collections}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {2}, year = {2000}, issn = {1098-7576}, pages = {2003}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.857865}, 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 - Self-Organizing Maps of Massive Document Collections SN - 1098-7576 SP EP A1 - Teuvo Kohonen, PY - 2000 VL - 2 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Teuvo Kohonen, Helsinki University of Technology

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.857865

Huge document collections can be organized according to textual similarities by the Self-Organizing Map (SOM) algorithm, when statistical representations of the textual contents are used as the feature vectors of the documents. In a practical experiment, we mapped 6,840,568 patent abstracts onto a 1,002,240-node SOM. For the feature vectors, we selected 500-dimensional random projections of the weighted word histograms.

Citation:

Teuvo Kohonen, "Self-Organizing Maps of Massive Document Collections," ijcnn, vol. 2, pp.2003, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2, 2000

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