Use this url to cite publication: https://hdl.handle.net/20.500.12259/95686
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Combination of vector quantization and visualization
Type of publication
Straipsnis konferencijos medžiagoje Web of Science ir Scopus duomenų bazėje / Article in conference proceedings in Web of Science and Scopus database (P1a)
Author(s)
LT | Matematikos ir informatikos institutas | LT | ||
Molytė, Alma | Matematikos ir informatikos institutas | LT |
Title
Combination of vector quantization and visualization
Is part of
Machine learning and data mining in pattern recognition : 6th international conference, MLDM 2009 : Leipzig, Germany, July 23-25, 2009 : proceedings. Berlin; Heidelberg : Springer, 2009
Date Issued
Date Issued |
---|
2009 |
Publisher
Berlin; Heidelberg : Springer, 2009
Publisher (trusted)
Extent
p. 29-43
Field of Science
Abstract
In this paper, we present a comparative analysis of a combination of two vector quantization methods (self-organizing map and neural gas), based on a neural network and multidimensional scaling that is used for visualization of codebook vectors obtained by vector quantization methods. The dependence of computing time on the number of neurons, the ratio between the number of neuron-winners and that of all neurons, quantization and mapping qualities, and preserving of a data structure in the mapping image are investigated.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Vokietija / Germany (DE)
ISBN (of the container)
9783642030697
WOS
WOS:000269868500003
Scopus
2-s2.0-70350228913
Other Identifier(s)
VDU02-000056293