A hybrid spatial data clustering method for site selection: The data driven approach of GIS mining

@article{Fan2009AHS,
  title={A hybrid spatial data clustering method for site selection: The data driven approach of GIS mining},
  author={Bo Fan},
  journal={Expert Syst. Appl.},
  year={2009},
  volume={36},
  pages={3923-3936}
}
This article applies customer service to be the research background. Spatial data mining method is proposed to solve site selection of the service center. Firstly, a new data model for recording all the information of customer management is given, which transforms the traditional model-driven strategy to data-oriented method. Secondly, a hybrid spatial clustering method named OETTC-MEANS-CLASA algorithm is proposed. It has the advantages of applying k-means algorithm to reduce the result space… CONTINUE READING
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