EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA
Ph.D
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Language: | English |
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2016
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Online Access: | http://scholarbank.nus.edu.sg/handle/10635/122586 |
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sg-nus-scholar.10635-1225862024-10-26T18:17:19Z EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA HE QIANG STATISTICS & APPLIED PROBABILITY CHEN YING functional PCA, ICA, Penalized Independent factor analysis, Sparse-group independent component analysis, 3D Image FPCA, risk attitude classification Ph.D DOCTOR OF PHILOSOPHY 2016-02-29T18:00:57Z 2016-02-29T18:00:57Z 2015-08-21 Thesis HE QIANG (2015-08-21). EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/122586 NOT_IN_WOS en |
institution |
National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
functional PCA, ICA, Penalized Independent factor analysis, Sparse-group independent component analysis, 3D Image FPCA, risk attitude classification |
spellingShingle |
functional PCA, ICA, Penalized Independent factor analysis, Sparse-group independent component analysis, 3D Image FPCA, risk attitude classification HE QIANG EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA |
description |
Ph.D |
author2 |
STATISTICS & APPLIED PROBABILITY |
author_facet |
STATISTICS & APPLIED PROBABILITY HE QIANG |
format |
Theses and Dissertations |
author |
HE QIANG |
author_sort |
HE QIANG |
title |
EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA |
title_short |
EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA |
title_full |
EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA |
title_fullStr |
EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA |
title_full_unstemmed |
EXTRACT NESSENTIAL FACTORS FROM HIGH DIMENSIONAL BIG DATA |
title_sort |
extract nessential factors from high dimensional big data |
publishDate |
2016 |
url |
http://scholarbank.nus.edu.sg/handle/10635/122586 |
_version_ |
1821182327621943296 |