Clustering chemical data set using adaptive resonance theory (ART) algorithm

Saved in:
Bibliographic Details
Main Author: Elajeb, AbuObida Hassan
Format: Thesis
Published: 2006
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-utm-ep.35058
record_format uketd_dc
spelling my-utm-ep.350582013-10-21T01:04:06Z Clustering chemical data set using adaptive resonance theory (ART) algorithm 2006-00 Elajeb, AbuObida Hassan Unspecified 2006-00 Thesis http://eprints.utm.my/id/eprint/35058/ masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Unspecified
spellingShingle Unspecified
Elajeb, AbuObida Hassan
Clustering chemical data set using adaptive resonance theory (ART) algorithm
description
format Thesis
qualification_level Master's degree
author Elajeb, AbuObida Hassan
author_facet Elajeb, AbuObida Hassan
author_sort Elajeb, AbuObida Hassan
title Clustering chemical data set using adaptive resonance theory (ART) algorithm
title_short Clustering chemical data set using adaptive resonance theory (ART) algorithm
title_full Clustering chemical data set using adaptive resonance theory (ART) algorithm
title_fullStr Clustering chemical data set using adaptive resonance theory (ART) algorithm
title_full_unstemmed Clustering chemical data set using adaptive resonance theory (ART) algorithm
title_sort clustering chemical data set using adaptive resonance theory (art) algorithm
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2006
_version_ 1747816320652541952