2-D order of self-organizing kristal maps
Added Title
Two-D order of self-organizing kristal maps
College
College of Computer Studies
Department/Unit
Software Technology
Document Type
Conference Proceeding
Source Title
International Joint Conference on Neural Networks
First Page
510
Last Page
513
Publication Date
1999
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.
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Digitial Object Identifier (DOI)
10.1109/IJCNN.1999.831549
Recommended Citation
Azcarraga, A. P., & Lim, M. (1999). 2-D order of self-organizing kristal maps. International Joint Conference on Neural Networks, 510-513. https://doi.org/10.1109/IJCNN.1999.831549
Disciplines
Computer Sciences
Keywords
Self-organizing maps; Self-organizing systems
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
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