Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition

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Main Author: Sahel Ba-Karait, Nasser Omer
Format: Thesis
Published: 2007
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id my-utm-ep.7036
record_format uketd_dc
spelling my-utm-ep.70362013-12-13T08:53:39Z Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition 2007 Sahel Ba-Karait, Nasser Omer QA75 Electronic computers. Computer science 2007 Thesis http://eprints.utm.my/id/eprint/7036/ 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 QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Sahel Ba-Karait, Nasser Omer
Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
description
format Thesis
qualification_level Master's degree
author Sahel Ba-Karait, Nasser Omer
author_facet Sahel Ba-Karait, Nasser Omer
author_sort Sahel Ba-Karait, Nasser Omer
title Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
title_short Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
title_full Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
title_fullStr Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
title_full_unstemmed Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
title_sort particle swarm optimization (pso)-based clustering algorithm for handwritten digits recognition
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2007
_version_ 1747814706473598976