Efficient and Effective Clustering Methods for Spatial Data Mining

@inproceedings{Ng1994EfficientAE,
  title={Efficient and Effective Clustering Methods for Spatial Data Mining},
  author={Raymond T. Ng and Jiawei Han},
  booktitle={VLDB},
  year={1994}
}

• Raymond T. Ng, Jiawei Han
• Published 1994 in VLDB

Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. In this paper, we explore whether clustering methods have a role to play in spatial data mining. To this end, we develop a new clustering method called CLAHANS which is based on randomized search. We also develop two spatial data mining algorithms that use CLAHANS. Our analysis and experiments show that with the assistance of CLAHANS, these two algorithms are… CONTINUE READING

Save

Watch Paper

Cite

View PDF