Use this url to cite publication: https://hdl.handle.net/20.500.12259/37465
Parallel multidimensional scaling using grid computing : assesment of performance
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Author(s)
| Author | Affiliation | |||
|---|---|---|---|---|
LT | ||||
Title
Parallel multidimensional scaling using grid computing : assesment of performance
Is part of
Informacinės technologijos ir valdymas = Information technology and control. Kaunas : Technologija, 2008, Vol. 37, no. 1
Date Issued
| Date |
|---|
2008 |
Publisher
Kaunas : Technologija
Is Referenced by
Extent
p. 52-56
Abstract (en)
Multidimensional scaling is a technique for visualization and exploratory analysis of multidimensional data aiming to discover a structure of sets of objects using information on similarities/dissimilarities between those objects. A difficult global optimization problem should be solved to minimize the error of visualization. A hybrid optimization algorithm has been constructed combining evolutionary global search with efficient local descent. A parallel version of the proposed optimization algorithm is implemented to enable solution of large scale problems in acceptable time. In the present paper we investigated the efficiency of the parallel version of the algorithm on PC clusters and computational grids.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)
ISSN (of the container)
1392-124X
WOS
WOS:000255331200008
Other Identifier(s)
VDU02-000005199