Clustering Spatial Data in the Presence of Obstacles: a Density-Based Approach

@inproceedings{Zaane2002ClusteringSD,
  title={Clustering Spatial Data in the Presence of Obstacles: a Density-Based Approach},
  author={Osmar R. Za{\"i}ane and Chi-Hoon Lee},
  booktitle={IDEAS},
  year={2002}
}
Clustering spatial data is a well-known problem that has been extensively studied. Grouping similar data in large 2-dimensional spaces to find hidden patterns or meaningful sub-groups has many applications such as satellite imagery, geographic information systems, medical image analysis, marketing, computer visions, etc. Although many methods have been proposed in the literature, very few have considered physical obstacles that may have significant consequences on the effectiveness of the… CONTINUE READING
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