DocumentCode :
1818317
Title :
2D order of self-organizing Kristal maps
Author :
Azcarraga, Arnulfo P. ; Lim, Marlene Rose
Author_Institution :
Coll. of Comput. Studies, De La Salle Univ., Manila, Philippines
Volume :
1
fYear :
1999
fDate :
1999
Firstpage :
510
Abstract :
This paper presents two metrics that measure the disorder of 2D self-organizing maps. These are the average direct neighbor distance and the average unit disorder. This theoretical work on the order of 2D self-organizing maps is done on Kristal maps, a variant of the original Kohonen model. It is shown that Kristal maps, when adequately trained, produce orderings that are superior to any of the known 2D orderings, such as the Canter-diagonal, Morton, Peano-Hilbert, raster-scan, row-prime, spiral, and random orderings
Keywords :
learning (artificial intelligence); self-organising feature maps; 2D order metrics; 2D self-organizing maps; Kohonen model; Kristal maps; average direct neighbor distance; average unit disorder; learning; neural nets; Data analysis; Educational institutions; Euclidean distance; Mathematical analysis; Neural networks; Self organizing feature maps; Spirals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-5529-6
Type :
conf
DOI :
10.1109/IJCNN.1999.831549
Filename :
831549
Link To Document :
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