An adaptive density-based clustering algorithm for spatial database with noise

@article{Ma2004AnAD,
  title={An adaptive density-based clustering algorithm for spatial database with noise},
  author={Daoying Ma and Aidong Zhang},
  journal={Fourth IEEE International Conference on Data Mining (ICDM'04)},
  year={2004},
  pages={467-470}
}
Clustering spatial data has various applications. Several clustering algorithms have been proposed to cluster objects in spatial databases. Spatial object distribution has significant effect on the results of clustering. Few of current algorithms consider the distribution of objects while processing clusters. In this paper, we propose an adaptive density-based clustering algorithm, ADBC, which uses a novel adaptive strategy for neighbor selection based on spatial object distribution to improve… CONTINUE READING
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