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Spatial clustering with obstacles constraints (SCOC) has been a new topic in spatial data mining (SDM). In this paper, we propose an advanced hybrid particle swarm optimization (HPSO) with GA mutation for SCOC. In the process of doing so, we first use HPSO to get obstructed distance, and then we developed a novel HPKSCOC based on HPSO and K-Medoids to cluster spatial data with obstacles constraints...
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 shortest obstructed distance, which is an effective method for arbitrary shape obstacles, and then we develop...
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 an advanced hybrid particle swarm optimization (HPSO) with GA mutation based on grid model. In the process...
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