Clustering Spatial Data with Obstacles Using Improved Ant Colony Optimization and Hybrid Particle Swarm Optimization

Spatial clustering with obstacles constraints (SCOC) has been a new topic in spatial data mining (SDM). In this paper, we propose an improved ant colony optimization (IACO) and hybrid particle swarm optimization (HPSO) method for SCOC. In the process of doing so, we first use IACO to obtain the shor...

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Bibliographische Detailangaben

Hauptverfasser:	Xueping Zhang, Qingzhou Zhang, Zhongshan Fan, Gaofeng Deng, Chuang Zhang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Ant colony optimization Computer science Data engineering Data mining Electronic mail Feedback Fuzzy systems Knowledge engineering Particle swarm optimization Shape
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