Heterogeneous Distributed Big Data Clustering on Sparse Grids

Clustering is an important task in data mining that has become more challenging due to the ever-increasing size of available datasets. To cope with these big data scenarios, a high-performance clustering approach is required. Sparse grid clustering is a density-based clustering method that uses a sp...

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Bibliographic Details
Published in:Algorithms Vol. 12; no. 3; p. 60
Main Authors: Pfander, David, Daiß, Gregor, Pflüger, Dirk
Format: Journal Article
Language:English
Published: Basel MDPI AG 07.03.2019
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ISSN:1999-4893, 1999-4893
Online Access:Get full text
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