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pro vyhledávání: '"Kannamareddy, Aruna Sai"'
Autor:
Kannamareddy, Aruna Sai
Master of Science
Department of Computing and Information Sciences
William H. Hsu
The project explores the possibility of increasing efficiency in the clusters formed out of massive data sets which are formed using threshold blocking a
Department of Computing and Information Sciences
William H. Hsu
The project explores the possibility of increasing efficiency in the clusters formed out of massive data sets which are formed using threshold blocking a
Externí odkaz:
http://hdl.handle.net/2097/35467
Autor:
Luo, Jianmei, Annakula, ChandraVyas, Kannamareddy, Aruna Sai, Sekhon, Jasjeet S., Hsu, William Henry, Higgins, Michael
As the size $n$ of datasets become massive, many commonly-used clustering algorithms (for example, $k$-means or hierarchical agglomerative clustering (HAC) require prohibitive computational cost and memory. In this paper, we propose a solution to the
Externí odkaz:
http://arxiv.org/abs/1907.02907