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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
An Enhanced ART2 Neural Network for Clustering Analysis
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
ASCII Text
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Jianhong Luo, Dezhao Chen, "An Enhanced ART2 Neural Network for Clustering Analysis," International Workshop on Knowledge Discovery and Data Mining, pp. 81-85, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
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@article{ 10.1109/WKDD.2008.117,
author = {Jianhong Luo and Dezhao Chen},
title = {An Enhanced ART2 Neural Network for Clustering Analysis},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {81-85},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.117},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - An Enhanced ART2 Neural Network for Clustering Analysis
SN - 0-7695-3090-7
SP81
EP85
A1 - Jianhong Luo,
A1 - Dezhao Chen,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
The adaptive resonance theory 2 (ART2) neural network exhibits several properties which can be useful in the data mining and which are lacking in most other neural networks. But ART2 has deficiencies that the categories clustered by ART2 are very mutable to slight changes in training conditions. An improved ART2 with enhanced triplex matching mechanism, named as ETM-ART2, is presented to redress the deficiencies. Several tests results show that ETM-ART2 performs better than classic ART2 when applied to clustering tasks. It is an effective improved algorithm and can be applied to a wide variety of problems.
Citation:
Jianhong Luo, Dezhao Chen, "An Enhanced ART2 Neural Network for Clustering Analysis," wkdd, pp.81-85, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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