Geospatial clustering in data-rich environments: features and issues
Lee, Ickjai (2005) Geospatial clustering in data-rich environments: features and issues. In: Proceedings of the 9th International Knowledge-Based Intelligent Information and Engineering Systems Conference 2005 (3684), pp. 336-342. From: 9th International Knowledge-Based Intelligent Information and Engineering Systems Conference 2005, 14-16 September 2005, Melbourne, VIC, Australia.
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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.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
|Date Deposited:||16 Sep 2009 23:36|
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%|
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