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15th International Conference on Pattern Recognition (ICPR'00) - Volume 2
Clustering Data: Dealing with High Density Variations
Barcelona, Spain
September 03-September 08
ISBN: 0-7695-0750-6
ASCII Text
x 
 
A. Ribert, A. Ennaji, Y. Lecourtier, "Clustering Data: Dealing with High Density Variations," Pattern Recognition, International Conference on, vol. 2, pp. 2736, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2000.906180,
author = {A. Ribert and A. Ennaji and Y. Lecourtier},
title = {Clustering Data: Dealing with High Density Variations},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2000},
isbn = {0-7695-0750-6},
pages = {2736},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.906180},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Clustering Data: Dealing with High Density Variations
SN - 0-7695-0750-6
SP
EP
A1 - A. Ribert,
A1 - A. Ennaji,
A1 - Y. Lecourtier,
PY - 2000
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
A. Ribert, University of Rouen
A. Ennaji, University of Rouen
Y. Lecourtier, University of Rouen
This paper focuses on the problem of cluster analysis when data present high variations of density. The proposed method is based upon a hierarchical clustering and enables one to determine the clusters without any assumption on neither their number nor their statistical distribution. This method is used to designing efficient distributed Neural Classifier [1], which reveal a good generalization behavior on a real problem of Handwriting Digit Recognition (NIST Database).
Citation:
A. Ribert, A. Ennaji, Y. Lecourtier, "Clustering Data: Dealing with High Density Variations," icpr, vol. 2, pp.2736, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000
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