Data clustering using self organizing feature map

au.identifier.bibno 0012-7007
au.identifier.callno Thesis 006.3 S226d 2000
dc.contributor.advisor To, Tang Van
dc.contributor.author Sanhapon Thadapradit
dc.date.accessioned 2015-06-26T05:17:09Z
dc.date.available 2015-06-26T05:17:09Z
dc.date.issued 2000
dc.description Thesis (MSCS)--Assumption University, 2000.
dc.description Includes bibliography.
dc.format.extent iv, 84 p. ; 30 cm.
dc.format.mimetype application/pdf
dc.identifier.uri https://repository.au.edu/handle/6623004553/2831
dc.language.iso eng
dc.publisher Bangkok : Assumption University
dc.rights This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
dc.subject.other Educational tests and measurements
dc.subject.other Cluster set theory
dc.subject.other Computational intelligence
dc.title Data clustering using self organizing feature map en_US
dc.type Text
mods.edition 1st ed.
mods.genre Thesis
mods.location.physicalLocation AU Archives, 4th Floor (Cathedral of Learning)
thesis.degree.department School of Science and Technology
thesis.degree.discipline Computer Science
thesis.degree.grantor Assumption University
thesis.degree.level Masters
thesis.degree.name Master of Science
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