A density-based spatial clustering for physical constraints

We propose a spatial clustering method, called DBRS+, which aims to cluster spatial data in the presence of both obstacles and facilitators. It can handle datasets with intersected obstacles and facilitators. Without preprocessing, DBRS+ processes constraints during clustering. It can find clusters...

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Veröffentlicht in:Journal of intelligent information systems 2012-02, Vol.38 (1), p.269-297
Hauptverfasser: Wang, Xin, Rostoker, Camilo, Hamilton, Howard J.
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Sprache:eng
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