SUPPORTING GENERIC CLUSTERING AND SIMILARITY SEARCH FOR MASSIVE DATASETS
Ph.D
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2023
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/237667 |
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sg-nus-scholar.10635-2376672024-10-25T18:52:19Z SUPPORTING GENERIC CLUSTERING AND SIMILARITY SEARCH FOR MASSIVE DATASETS LUO PINGYI COMPUTATIONAL SCIENCE Kum Hoe, Anthony Tung Clustering, Similarity Search, Generic Framework, Locality-Sensitive Hashing, Large-scale data, Parallel Computing Ph.D DOCTOR OF PHILOSOPHY (SOC) 2023-02-28T18:00:48Z 2023-02-28T18:00:48Z 2022-08-01 Thesis LUO PINGYI (2022-08-01). SUPPORTING GENERIC CLUSTERING AND SIMILARITY SEARCH FOR MASSIVE DATASETS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/237667 0000-0002-7389-4266 en |
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National University of Singapore |
building |
NUS Library |
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Asia |
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Singapore Singapore |
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NUS Library |
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ScholarBank@NUS |
language |
English |
topic |
Clustering, Similarity Search, Generic Framework, Locality-Sensitive Hashing, Large-scale data, Parallel Computing |
spellingShingle |
Clustering, Similarity Search, Generic Framework, Locality-Sensitive Hashing, Large-scale data, Parallel Computing LUO PINGYI SUPPORTING GENERIC CLUSTERING AND SIMILARITY SEARCH FOR MASSIVE DATASETS |
description |
Ph.D |
author2 |
COMPUTATIONAL SCIENCE |
author_facet |
COMPUTATIONAL SCIENCE LUO PINGYI |
format |
Theses and Dissertations |
author |
LUO PINGYI |
author_sort |
LUO PINGYI |
title |
SUPPORTING GENERIC CLUSTERING AND SIMILARITY SEARCH FOR MASSIVE DATASETS |
title_short |
SUPPORTING GENERIC CLUSTERING AND SIMILARITY SEARCH FOR MASSIVE DATASETS |
title_full |
SUPPORTING GENERIC CLUSTERING AND SIMILARITY SEARCH FOR MASSIVE DATASETS |
title_fullStr |
SUPPORTING GENERIC CLUSTERING AND SIMILARITY SEARCH FOR MASSIVE DATASETS |
title_full_unstemmed |
SUPPORTING GENERIC CLUSTERING AND SIMILARITY SEARCH FOR MASSIVE DATASETS |
title_sort |
supporting generic clustering and similarity search for massive datasets |
publishDate |
2023 |
url |
https://scholarbank.nus.edu.sg/handle/10635/237667 |
_version_ |
1821205364269383680 |