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A Density-Based Algorithm for Discovering Clusters in ...

A Density-Based Algorithm for Discovering Clustersin large spatial Databases with NoiseMartin Ester, Hans-Peter Kriegel, Jiirg Sander, Xiaowei XuInstitute for Computer Science, University of MunichOettingenstr. 67, D-80538 Miinchen, Germany{ester I kriegel I sander I xwxu } algorithms are attractive for the task of class iden-tification in spatial databases. However, the application tolarge spatial databases rises the following requirements forclustering algorithms: minimal requirements of domainknowledge to determine the input parameters, discovery ofclusters with arbitrary shape and good efficiency on large da-tabases.

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

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