Use this url to cite publication: https://hdl.handle.net/20.500.12259/94996
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Dimensionality problem in the visualization of correlation-based data
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)
Matematikos ir informatikos institutas | ||
Matematikos ir informatikos institutas |
Title
Dimensionality problem in the visualization of correlation-based data
Is part of
Lecture notes in computer science. Part II, Adaptive and natural computing algorithms : 8th international conference, ICANNGA 2007 : Warsaw, Poland, April 11-14, 2007 : proceedings. , Vol. 4432 (2007)
Date Issued
Date Issued |
---|
2007 |
Extent
p. 544-553
Field of Science
Abstract
A method for visualization the correlation-based data has been investigated. The advantage of this method lies in the possibility to restore the system of multidimensional vectors describing parameters from their correlation matrix (one vector for, one parameter) and to visualise these vectors for the visual decision making on the similarity of the parameters. The goal of this research is to investigate the possibility to reduce the dimensionality of the vectors from the restored system and to evaluate the visualization quality in dependence on the reduction level.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Vokietija / Germany (DE)