Machine learning methods for pattern analysis and clustering

Ph.D

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Bibliographic Details
Main Author: HE JI
Other Authors: COMPUTER SCIENCE
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/14977
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Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-14977
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spelling sg-nus-scholar.10635-149772017-10-21T09:35:58Z Machine learning methods for pattern analysis and clustering HE JI COMPUTER SCIENCE TAN CHEW LIM Pattern Analysis, Machine Learning, Clustering, Neural Networks, Adaptive Resonance Theory, Adaptive Resonance Theory Under Constraint Ph.D DOCTOR OF PHILOSOPHY 2010-04-08T10:48:49Z 2010-04-08T10:48:49Z 2005-11-01 Thesis HE JI (2005-11-01). Machine learning methods for pattern analysis and clustering. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/14977 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic Pattern Analysis, Machine Learning, Clustering, Neural Networks, Adaptive Resonance Theory, Adaptive Resonance Theory Under Constraint
spellingShingle Pattern Analysis, Machine Learning, Clustering, Neural Networks, Adaptive Resonance Theory, Adaptive Resonance Theory Under Constraint
HE JI
Machine learning methods for pattern analysis and clustering
description Ph.D
author2 COMPUTER SCIENCE
author_facet COMPUTER SCIENCE
HE JI
format Theses and Dissertations
author HE JI
author_sort HE JI
title Machine learning methods for pattern analysis and clustering
title_short Machine learning methods for pattern analysis and clustering
title_full Machine learning methods for pattern analysis and clustering
title_fullStr Machine learning methods for pattern analysis and clustering
title_full_unstemmed Machine learning methods for pattern analysis and clustering
title_sort machine learning methods for pattern analysis and clustering
publishDate 2010
url http://scholarbank.nus.edu.sg/handle/10635/14977
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