Clustering with obstacles for Geographical Data Mining

Clustering algorithms typically use the Euclidean distance. However, spatial proximity is dependent on obstacles, caused by related information in other layers of the spatial database. We present a clustering algorithm suitable for large spatial databases with obstacles. The algorithm is free of use...

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Bibliographic Details

Published in:	ISPRS journal of photogrammetry and remote sensing Vol. 59; no. 1; pp. 21 - 34
Main Authors:	Estivill-Castro, Vladimir, Lee, Ickjai
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2004
Subjects:	association analysis clustering delaunay triangulation Geographical Data Mining large spatial databases delaunay triangulation clustering association analysis large spatial databases Geographical Data Mining
ISSN:	0924-2716, 1872-8235
Online Access:	Get full text
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