2-D order of self-organizing kristal maps

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 sh...

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Main Authors: Azcarraga, Arnulfo P., Lim, Marlene Rose
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Published: Animo Repository 1999
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/9637
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-118652023-08-08T06:43:58Z 2-D order of self-organizing kristal maps Azcarraga, Arnulfo P. Lim, Marlene Rose 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. 1999-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/9637 info:doi/10.1109/IJCNN.1999.831549 Faculty Research Work Animo Repository Self-organizing maps Self-organizing systems Computer Sciences
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Self-organizing maps
Self-organizing systems
Computer Sciences
spellingShingle Self-organizing maps
Self-organizing systems
Computer Sciences
Azcarraga, Arnulfo P.
Lim, Marlene Rose
2-D order of self-organizing kristal maps
description 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.
format text
author Azcarraga, Arnulfo P.
Lim, Marlene Rose
author_facet Azcarraga, Arnulfo P.
Lim, Marlene Rose
author_sort Azcarraga, Arnulfo P.
title 2-D order of self-organizing kristal maps
title_short 2-D order of self-organizing kristal maps
title_full 2-D order of self-organizing kristal maps
title_fullStr 2-D order of self-organizing kristal maps
title_full_unstemmed 2-D order of self-organizing kristal maps
title_sort 2-d order of self-organizing kristal maps
publisher Animo Repository
publishDate 1999
url https://animorepository.dlsu.edu.ph/faculty_research/9637
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