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spelling 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.
collection NDLTD
language English
sources NDLTD
topic Computer Science
Distributed Data Mining
Distributed Clustering
Hierarchical Clustering
spellingShingle 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
work_keys_str_mv AT loganathansatishkumar distributedhierarchicalclustering
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