Mass detection based on data clustering

This algorithm recasts the fuzzy clustering concept into the probability framework and offers improved features like a global minimization algorithm and more effective boundary detection.

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Bibliographic Details
Main Author: Tun Myo Lwin.
Other Authors: Song, Qing
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3614
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-36142023-07-04T15:44:09Z Mass detection based on data clustering Tun Myo Lwin. Song, Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This algorithm recasts the fuzzy clustering concept into the probability framework and offers improved features like a global minimization algorithm and more effective boundary detection. Master of Science (Computer Control and Automation) 2008-09-17T09:33:42Z 2008-09-17T09:33:42Z 2004 2004 Thesis http://hdl.handle.net/10356/3614 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Tun Myo Lwin.
Mass detection based on data clustering
description This algorithm recasts the fuzzy clustering concept into the probability framework and offers improved features like a global minimization algorithm and more effective boundary detection.
author2 Song, Qing
author_facet Song, Qing
Tun Myo Lwin.
format Theses and Dissertations
author Tun Myo Lwin.
author_sort Tun Myo Lwin.
title Mass detection based on data clustering
title_short Mass detection based on data clustering
title_full Mass detection based on data clustering
title_fullStr Mass detection based on data clustering
title_full_unstemmed Mass detection based on data clustering
title_sort mass detection based on data clustering
publishDate 2008
url http://hdl.handle.net/10356/3614
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