Distributed Hierarchical Clustering
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ndltd-OhioLink-oai-etd.ohiolink.edu-ucin15440019122665742021-08-03T07:09:15Z Distributed Hierarchical Clustering Loganathan, Satish Kumar Computer Science Distributed Data Mining Distributed Clustering Hierarchical Clustering Hierarchical clustering is an inherently sequential algorithm designed for datasets that can fit in the memory of a single stand-alone system. In this thesis, we extend the agglomerative hierarchical clustering algorithm to distributed data environments where both the storage and computational resources are decentralized. We specifically target environments where the data is horizontally partitioned. 2018 English text University of Cincinnati / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ucin1544001912266574 http://rave.ohiolink.edu/etdc/view?acc_num=ucin1544001912266574 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
language |
English |
sources |
NDLTD |
topic |
Computer Science Distributed Data Mining Distributed Clustering Hierarchical Clustering |
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Computer Science Distributed Data Mining Distributed Clustering Hierarchical Clustering Loganathan, Satish Kumar Distributed Hierarchical Clustering |
author |
Loganathan, Satish Kumar |
author_facet |
Loganathan, Satish Kumar |
author_sort |
Loganathan, Satish Kumar |
title |
Distributed Hierarchical Clustering |
title_short |
Distributed Hierarchical Clustering |
title_full |
Distributed Hierarchical Clustering |
title_fullStr |
Distributed Hierarchical Clustering |
title_full_unstemmed |
Distributed Hierarchical Clustering |
title_sort |
distributed hierarchical clustering |
publisher |
University of Cincinnati / OhioLINK |
publishDate |
2018 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1544001912266574 |
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AT loganathansatishkumar distributedhierarchicalclustering |
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1719455046062571520 |