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From: KDD-96 Proceedings. Copyright 1996, AAAI ( ). All rights reserved. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databaseswith Noise Martin Ester, Hans-Peter Kriegel, Jiirg Sander, Xiaowei Xu Institute for ComputerScience, University of Munich Oettingenstr. 67, D-80538Miinchen, Germany {ester I kriegel I sander I xwxu} Abstract are often not knownin advancewhendealing with large Clusteringalgorithmsare attractive for the task of class iden- databases. tification in spatial , the applicationto (2) Discoveryof Clusters with arbitrary shape, because the large spatial databasesrises the followingrequirements for shapeof Clusters in spatial databases maybe spherical, clustering algorithms: minimalrequirements of domain drawn-out,linear, elongatedetc.

A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise Martin Ester, Hans-Peter Kriegel, Jiirg Sander, Xiaowei Xu

  Based, Cluster, Density, Discovering, Algorithm, Density based algorithm for discovering clusters

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