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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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 |
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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. |
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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 |
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Mass detection based on data clustering |
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Mass detection based on data clustering |
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mass detection based on data clustering |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/3614 |
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1772827561949134848 |