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