Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/95655
Type of publication: Straipsnis recenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in peer-reviewed Lithuanian international conference proceedings (P1e)
Field of Science: Informatika / Informatics (N009)
Author(s): Kurasova, Olga;Molytė, Alma
Title: Investigation of the quality of mapping vectors obtained by quantization methods
Is part of: The XIIIth international conference "Applied stochastic models and data analysis" ASMDA-2009 : selected papers : June 30 - July 3, 2009, Vilnius, Lithuania. Vilnius : Technika, 2009
Extent: P. 269-273
Date: 2009
Keywords: Self-organizing map;Neural gas;Multidimensional scaling;Topology preserving measure;Spearman’s rho
ISBN: 9789955284635
Abstract: In this paper, the quality of mapping vectors, obtained by vector quantization methods (self-organizing map and neural gas), is investigated. Multidimensional scaling is used for mapping. Two criteria (topology preserving measure and Spearman’s rho) are applied for the estimation of mapping quality
Internet: http://www.vgtu.lt/leidiniai/leidykla/ASMDA_2009/12/12-104.htm
http://www.vgtu.lt/leidiniai/leidykla/ASMDA_2009/12/12-104.htm
Affiliation(s): Matematikos ir informatikos institutas, Kurasova@ktl.mii.lt
Matematikos ir informatikos institutas, alma.molyte@gmail.com
Vytauto Didžiojo universitetas
Švietimo akademija
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml4.73 kBXMLView/Open

MARC21 XML metadata

Show full item record

Page view(s)

38
checked on Mar 31, 2020

Download(s)

6
checked on Mar 31, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.