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JMLR
2012

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Consistency and Rates for Clustering with DBSCAN

13 years 1 months ago

Consistency and Rates for Clustering with DBSCAN

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We propose a simple and eﬃcient modiﬁcation of the popular DBSCAN clustering algorithm. This modiﬁcation is able to detect the most interesting vertical threshold level in an automated, data-driven way. We establish both consistency and optimal learning rates for this modiﬁcation.

Bharath K. Sriperumbudur, Ingo Steinwart

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Clustering Algorithm | Consistency | JMLR 2012 | Programming Languages | Threshold Level |

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Added	27 Sep 2012
Updated	27 Sep 2012
Type	Journal
Year	2012
Where	JMLR
Authors	Bharath K. Sriperumbudur, Ingo Steinwart

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