Fixed spherical n points density-based clustering technique (FixDeC) for cloth simulation

Fixed spherical n points density-based clustering technique (FixDeC) for cloth simulation

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Bibliographic Details
Main Author: Mohd. Shapri, Nur Saadah
Format: Thesis
Published: 2011
Subjects:
QA75 Electronic computers
Computer science
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id my-utm-ep.26748
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spelling my-utm-ep.267482017-07-06T03:37:06Z Fixed spherical n points density-based clustering technique (FixDeC) for cloth simulation 2011 Mohd. Shapri, Nur Saadah QA75 Electronic computers. Computer science 2011 Thesis http://eprints.utm.my/id/eprint/26748/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Fixed+spherical+n+points+density-based+clustering+technique+%28FixDeC%29+for+cloth+simulation&te= 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
Mohd. Shapri, Nur Saadah
Fixed spherical n points density-based clustering technique (FixDeC) for cloth simulation
description
format Thesis
qualification_level Master's degree
author Mohd. Shapri, Nur Saadah
author_facet Mohd. Shapri, Nur Saadah
author_sort Mohd. Shapri, Nur Saadah
title Fixed spherical n points density-based clustering technique (FixDeC) for cloth simulation
title_short Fixed spherical n points density-based clustering technique (FixDeC) for cloth simulation
title_full Fixed spherical n points density-based clustering technique (FixDeC) for cloth simulation
title_fullStr Fixed spherical n points density-based clustering technique (FixDeC) for cloth simulation
title_full_unstemmed Fixed spherical n points density-based clustering technique (FixDeC) for cloth simulation
title_sort fixed spherical n points density-based clustering technique (fixdec) for cloth simulation
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2011
_version_ 1747815501299449856

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