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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Vydané v:	ISPRS journal of photogrammetry and remote sensing Ročník 59; číslo 1; s. 21 - 34
Hlavní autori:	Estivill-Castro, Vladimir, Lee, Ickjai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2004
Predmet:	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
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