Novel techniques for clustering and classification of arbitrary data

In this study, we focus on exploiting new techniques both for unsupervised classification and supervised classification tasks.

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Bibliographic Details
Main Author: Yao, Yuhui.
Other Authors: Chen, Lihui
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/3860
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-38602023-07-04T15:42:05Z Novel techniques for clustering and classification of arbitrary data Yao, Yuhui. Chen, Lihui School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In this study, we focus on exploiting new techniques both for unsupervised classification and supervised classification tasks. Doctor of Philosophy (EEE) 2008-09-17T09:39:12Z 2008-09-17T09:39:12Z 2001 2001 Thesis http://hdl.handle.net/10356/3860 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
Yao, Yuhui.
Novel techniques for clustering and classification of arbitrary data
description In this study, we focus on exploiting new techniques both for unsupervised classification and supervised classification tasks.
author2 Chen, Lihui
author_facet Chen, Lihui
Yao, Yuhui.
format Theses and Dissertations
author Yao, Yuhui.
author_sort Yao, Yuhui.
title Novel techniques for clustering and classification of arbitrary data
title_short Novel techniques for clustering and classification of arbitrary data
title_full Novel techniques for clustering and classification of arbitrary data
title_fullStr Novel techniques for clustering and classification of arbitrary data
title_full_unstemmed Novel techniques for clustering and classification of arbitrary data
title_sort novel techniques for clustering and classification of arbitrary data
publishDate 2008
url http://hdl.handle.net/10356/3860
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