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15

EUROPAR
2001
Springer

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Experiments in Parallel Clustering with DBSCAN

13 years 8 months ago

Experiments in Parallel Clustering with DBSCAN

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We present a new result concerning the parallelisation of DBSCAN, a Data Mining algorithm for density-based spatial clustering. The overall structure of DBSCAN has been mapped to a skeletonstructured program that performs parallel exploration of each cluster. The approach is useful to improve performance on high-dimensional data, and is general w.r.t. the spatial index structure used. We report preliminary results of the application running on a Beowulf with good eﬃciency.

Domenica Arlia, Massimo Coppola

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Data Mining Algorithm | Density-based Spatial Clustering | Distributed And Parallel Computing | EUROPAR 2001 | Spatial Index Structure |

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Added	28 Jul 2010
Updated	28 Jul 2010
Type	Conference
Year	2001
Where	EUROPAR
Authors	Domenica Arlia, Massimo Coppola

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