In this paper we propose a novel tree-based distance function for supporting clustering over distributed database objects. Our proposal exposes several aspects of research innovation, which are truly established by an experimental assessment of the accuracy of the proposed framework in computing the final clusters against both benchmark and real-life data sets.
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Titolo: | Tree-based distance clustering over distributed database objects |
Autori: | |
Data di pubblicazione: | 2014 |
Abstract: | In this paper we propose a novel tree-based distance function for supporting clustering over distributed database objects. Our proposal exposes several aspects of research innovation, which are truly established by an experimental assessment of the accuracy of the proposed framework in computing the final clusters against both benchmark and real-life data sets. |
Handle: | http://hdl.handle.net/20.500.11770/312730 |
ISBN: | 9781634391450 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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