Spatial Clustering with Obstacles Constraints by HPSO based on Grid

Spatial clustering has been an active research area in the data mining community. Spatial clustering is not only an important effective method but also a prelude of other task for spatial data mining (SDM).In this paper, we propose a novel spatial clustering with obstacles constraints (SCOC) using a...

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Bibliographische Detailangaben

Hauptverfasser:	Xueping Zhang, Weidong Chen, Gaofeng Deng, Zhongshan Fan, Mingwei Wang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Clustering algorithms Distance measurement Equations Gallium Grid Hybrid Particle Swarm Optimization Mathematical model Obstacles Constraints Obstructed Distance Partitioning algorithms Spatial clustering Spatial databases
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