Genetic K-Medoids Spatial Clustering with Obstacles Constraints

Spatial clustering is an important research topic in spatial data mining (SDM). It is not only an important effective method but also a prelude of other task for SDM. Grouping similar data in large 2-dimensional spaces to find hidden patterns or meaningful sub-groups has many applications such as sa...

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Veröffentlicht in:	2006 3rd International IEEE Conference Intelligent Systems S. 826 - 831
Hauptverfasser:	Xueping Zhang, Jiayao Wang, Fang Wu, Zhongshan Fan, Wenbo Xu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2006
Schlagworte:	Application software Biomedical imaging Clustering Clustering algorithms Clustering methods Data mining Genetic algorithms Genetic engineering Geographic Information Systems K-Medoids Algorithm Laboratories Obstacles Constraints Partitioning algorithms
ISBN:	9781424401956, 142440195X
ISSN:	1541-1672
Online-Zugang:	Volltext
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