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24 th. EUROMICRO Conference Volume 2 (EUROMICRO'98)
A Fast Metric Approach to Feature Subset Selection
Västerås, Sweden
August 25-August 27
ISBN: 0-8186-8646-4
ASCII Text
x 
 
Tony Y. T. Chan, "A Fast Metric Approach to Feature Subset Selection," EUROMICRO Conference, vol. 2, pp. 20733, 24 th. EUROMICRO Conference Volume 2 (EUROMICRO'98), 1998.
 
 
BibTex
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@article{ 10.1109/EURMIC.1998.708095,
author = {Tony Y. T. Chan},
title = {A Fast Metric Approach to Feature Subset Selection},
journal ={EUROMICRO Conference},
volume = {2},
year = {1998},
issn = {1089-6503},
pages = {20733},
doi = {http://doi.ieeecomputersociety.org/10.1109/EURMIC.1998.708095},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - EUROMICRO Conference
TI - A Fast Metric Approach to Feature Subset Selection
SN - 1089-6503
SP
EP
A1 - Tony Y. T. Chan,
PY - 1998
KW - null
VL - 2
JA - EUROMICRO Conference
ER -
 
Tony Y. T. Chan, University of Aizu
A simple approach to feature subset selection is proposed. During the training stage, the method selects the features that simultaneously minimize the within-class distance and maximize the between-class distance. Experiments performed on the Iris Plants Database and the Pima Indians Diabetes Database show that the approach is practical because it is fast and yet the correct classi.cation rates are competitive.
Citation:
Tony Y. T. Chan, "A Fast Metric Approach to Feature Subset Selection," euromicro, vol. 2, pp.20733, 24 th. EUROMICRO Conference Volume 2 (EUROMICRO'98), 1998
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