APSCAN: A parameter free algorithm for clustering

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APSCAN: A parameter free algorithm for clustering

DBSCAN is a density based clustering algorithm and its effectiveness for spatial datasets has been demonstrated in the existing literature. However, there are two distinct drawbacks for DBSCAN: (i) the performances of clustering depend on two specified parameters. One is the maximum radius of a neig...

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Bibliographic Details
Main Authors:	Chen, Xiaoming, Liu, Wan-quan, Huining, Q., Lai, J.
Format:	Journal Article
Published:	Elsevier BV, North-Holland 2011
Subjects:	DBSCAN Clustering algorithm Affinity propagation algorithm
Online Access:	http://hdl.handle.net/20.500.11937/26657

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