loading...
Self-organizing maps and SVD
Regensburg, Germany September 03-September 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2007.8618th International Conference on Data ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Jiri Dvorsky, "Self-organizing maps and SVD," Database and Expert Systems Applications, International Workshop on, pp. 143-147, 18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007.
 
 
BibTex
x
 
@article{ 10.1109/DEXA.2007.86,
author = {Jiri Dvorsky},
title = {Self-organizing maps and SVD},
journal ={Database and Expert Systems Applications, International Workshop on},
volume = {0},
year = {2007},
issn = {1529-4188},
pages = {143-147},
doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2007.86},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Database and Expert Systems Applications, International Workshop on
TI - Self-organizing maps and SVD
SN - 1529-4188
SP143
EP147
A1 - Jiri Dvorsky,
PY - 2007
KW - null
VL - 0
JA - Database and Expert Systems Applications, International Workshop on
ER -
 
Jiri Dvorsky, Technical University of Ostrava, Czech Republic
Mean square error is usual method to measure quality of self-organizing map (SOM). MSE brings good theoretical description about learning process, but its rather hard to decide what MSE is small enough, or when learning should be stoped. A new technique for measurement of quality of SOM using singular value decomposition will be presented in this paper.
Citation:
Jiri Dvorsky, "Self-organizing maps and SVD," dexa, pp.143-147, 18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.