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Memory effect in DBSCAN algorithm

Published • Jul 1, 2009
Authors:
Jian Li
,
Wei Yu
,
Baoping Yan

Abstract

As a density based clustering algorithm, DBSCAN plays an important role in data mining. Normally DBSCAN algorithm is computationally expensive, limiting its performance in large-scale data sets, especially in high dimensional data sets. The high complexity is rooted from the region queries, a very c...

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