Use this url to cite publication: https://hdl.handle.net/20.500.12259/95656
Visualization of support vectors
Type of publication
Straipsnis recenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in peer-reviewed Lithuanian international conference proceedings (P1e)
Author(s)
| Author | Affiliation | |||
|---|---|---|---|---|
LT | Matematikos ir informatikos institutas | LT |
Title
Visualization of support vectors
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
Date Issued
| Date |
|---|
2009 |
Publisher
Vilnius : Technika, 2009
Extent
P. 522-526
Abstract (en)
In this paper, some ways of visualization of support vectors are investigated. We examine a possibility to visualize support vectors by various methods, for example, Chernoff faces, Andrew’s curve, parallel coordinates, stars, etc. Since the changes of the classification quality are slight when comparing the results of classification of multidimensional data with that of two-dimensional data obtained by multidimensional scaling, it is possible to determine decision surfaces by analyzing the mapping data with a view to get more understandable results.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)
ISBN (of the container)
9789955284635
Other Identifier(s)
VDU02-000056292