Density and partition based clustering on massive threshold bounded data sets
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 algorithm. Clusters thus formed are denser and qualita...
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| Language: | en_US |
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Kansas State University
2017
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| Online Access: | http://hdl.handle.net/2097/35467 |