Geospatial clustering in data-rich environments: features and issues

Conference Publication ResearchOnline@JCU

Lee, Ickjai

Abstract

Geospatial clustering must be designed in such a way that it takes into account the special features of geoinformation and the peculiar nature of geographical environments in order to successfully derive geospatially interesting global concentrations and localized excesses. This paper examines families of geospaital clustering recently proposed in the data mining community and identifies several features and issues especially important to geospatial clustering in data-rich environments.

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3684

ISBN/ISSN

1611-3349

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Location

Melbourne, VIC, Australia

Publisher

Springer

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Publisher Location

New York

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DOI

10.1007/11554028_47