New self-organizing algorithms for topological maps

Self-organizing Maps (SOM) were developed by Kohonen in late 1980's in response to the growing amount of large data sets required to represent a problem for thorough analysis with standard tools and techniques. SOMs are widely used in many applications including machine vision and image analysi...

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Bibliographic Details
Main Author:	Xu, Pengfei
Other Authors:	Chang Chip Hong
Format:	Theses and Dissertations
Language:	English
Published:	2010
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	https://hdl.handle.net/10356/20865
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-20865
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spelling	sg-ntu-dr.10356-208652023-07-04T16:09:30Z New self-organizing algorithms for topological maps Xu, Pengfei Chang Chip Hong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Self-organizing Maps (SOM) were developed by Kohonen in late 1980's in response to the growing amount of large data sets required to represent a problem for thorough analysis with standard tools and techniques. SOMs are widely used in many applications including machine vision and image analysis, speech analysis and recognition, robotics, telecommunications, signal processing and radar measurement, process control, and so on. Despite their popularity in engineering applications and statistical data analysis, the basic SOM and its variants possess some intrinsic weaknesses that limit their dominance in traditional and contemporary learning tasks such as clustering, classification and density estimation. DOCTOR OF PHILOSOPHY (EEE) 2010-02-08T07:16:31Z 2010-02-08T07:16:31Z 2006 2006 Thesis Xu, P. (2006). New self-organizing algorithms for topological maps. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/20865 10.32657/10356/20865 en 189 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Xu, Pengfei New self-organizing algorithms for topological maps
description	Self-organizing Maps (SOM) were developed by Kohonen in late 1980's in response to the growing amount of large data sets required to represent a problem for thorough analysis with standard tools and techniques. SOMs are widely used in many applications including machine vision and image analysis, speech analysis and recognition, robotics, telecommunications, signal processing and radar measurement, process control, and so on. Despite their popularity in engineering applications and statistical data analysis, the basic SOM and its variants possess some intrinsic weaknesses that limit their dominance in traditional and contemporary learning tasks such as clustering, classification and density estimation.
author2	Chang Chip Hong
author_facet	Chang Chip Hong Xu, Pengfei
format	Theses and Dissertations
author	Xu, Pengfei
author_sort	Xu, Pengfei
title	New self-organizing algorithms for topological maps
title_short	New self-organizing algorithms for topological maps
title_full	New self-organizing algorithms for topological maps
title_fullStr	New self-organizing algorithms for topological maps
title_full_unstemmed	New self-organizing algorithms for topological maps
title_sort	new self-organizing algorithms for topological maps
publishDate	2010
url	https://hdl.handle.net/10356/20865
_version_	1772826844049965056

New self-organizing algorithms for topological maps

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