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18th International Conference on Database and Expert Systems Applications (DEXA 2007)
Self-organizing maps and SVD
Regensburg, Germany
September 03-September 07
ISBN: 0-7695-2932-1
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
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@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
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