THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION
Ph.D
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Language: | English |
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2017
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Online Access: | http://scholarbank.nus.edu.sg/handle/10635/138222 |
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sg-nus-scholar.10635-1382222018-01-01T13:11:54Z THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION LIU ZHAOQIANG MATHEMATICS BAO WEIZHU TAN YAN FU, VINCENT clustering, k-means, mixture models, dimensionality reduction, error bounds, nonnegative matrix factorization Ph.D DOCTOR OF PHILOSOPHY 2017-12-31T18:01:48Z 2017-12-31T18:01:48Z 2017-08-25 Thesis LIU ZHAOQIANG (2017-08-25). THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/138222 en |
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National University of Singapore |
building |
NUS Library |
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Singapore |
collection |
ScholarBank@NUS |
language |
English |
topic |
clustering, k-means, mixture models, dimensionality reduction, error bounds, nonnegative matrix factorization |
spellingShingle |
clustering, k-means, mixture models, dimensionality reduction, error bounds, nonnegative matrix factorization LIU ZHAOQIANG THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION |
description |
Ph.D |
author2 |
MATHEMATICS |
author_facet |
MATHEMATICS LIU ZHAOQIANG |
format |
Theses and Dissertations |
author |
LIU ZHAOQIANG |
author_sort |
LIU ZHAOQIANG |
title |
THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION |
title_short |
THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION |
title_full |
THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION |
title_fullStr |
THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION |
title_full_unstemmed |
THEORETICAL ADVANCES IN CLUSTERING WITH APPLICATIONS TO MATRIX FACTORIZATION |
title_sort |
theoretical advances in clustering with applications to matrix factorization |
publishDate |
2017 |
url |
http://scholarbank.nus.edu.sg/handle/10635/138222 |
_version_ |
1681097840149921792 |