Selection of number of neurons for vector quantization methods
Articles
Olga Kurasova
Matematikos ir informatikos institutas
Alma Molytė
Matematikos ir informatikos institutas
Published 2008-12-21
https://doi.org/10.15388/LMR.2008.18121
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Keywords

vector quantization
self-organizing map
neural gas
quantization error

How to Cite

Kurasova O. and Molytė A. (2008) “Selection of number of neurons for vector quantization methods”, Lietuvos matematikos rinkinys, 48(proc. LMS), pp. 354–359. doi: 10.15388/LMR.2008.18121.

Abstract

In this paper, a strategy of the selection of the neurons number for vector quantization methods has been investigated. Two methods based on neural networks have been analysed: self-organizing map and neural
gas. There is suggested a way under which the number of neurons is selected taken into account the particularity of the analysed data set.

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