Data Mining in GIS: A Novel Context-Based Fuzzy Geographically Weighted ClusteringAlgorithm

  • Son L
  • Lanzi P
  • Cuong B
  • et al.
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Abstract

Geographic Information Systems (GIS) play a very important role to researches and industries. In fact, there have been some studies related to the development of this kind of systems as well as methods of mining attribute GIS data. In this paper, we will explore an aspect of Data Mining in GIS, that is, GIS Clustering for Geo-Demographic Analysis and present a novel context-based fuzzy geographically weighted clustering algorithm to solve such task.

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Son, L. H., Lanzi, P. L., Cuong, B. C., & Hung, H. A. (2012). Data Mining in GIS: A Novel Context-Based Fuzzy Geographically Weighted ClusteringAlgorithm. International Journal of Machine Learning and Computing, 235–238. https://doi.org/10.7763/ijmlc.2012.v2.121

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