Document space dimension reduction by nonlinear Hebbian neural network

This paper deals with information retrieval of text documents, and their clustering into some other feature space. The aim of this paper is to reduce the dimension of the document space by the nonlinear Hebbian neural network. As can be seen from the results, not only dimension reduction of document...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Skovajsova, L., Mokris, I.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Feedforward neural networks Feedforward systems Indexing Information retrieval Matrix decomposition Neural networks Principal component analysis Sparse matrices Strontium Unsupervised learning
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