Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/94996
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Informatika / Computer science (N009)
Author(s): Dzemyda, Gintautas;Kurasova, Olga
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)
Extent: p. 544-553
Date: 2007
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
Internet: http://www.springerlink.com/content/h5h047vj61741131/?p=7ddd2442836a47a6b5a94ba8dda7b4d5&pi=60
http://www.springerlink.com/content/h5h047vj61741131/?p=7ddd2442836a47a6b5a94ba8dda7b4d5&pi=60
Affiliation(s): Matematikos ir informatikos institutas
Vytauto Didžiojo universitetas
Švietimo akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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