Qualitative cluster reasoning framework for decision making

Qu, Yang, Lee, Kyungmi, and Lee, Ickjai (2009) Qualitative cluster reasoning framework for decision making. In: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC, pp. 1321-1326. From: 2009 Fifth International Joint Conference on INC, IMS and IDC, 25-27 August 2009, Seoul, Korea.

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View at Publisher Website: http://dx.doi.org/10.1109/NCM.2009.79
 
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Abstract

Clustering is a core technique in many disciplines that assigns objects into similar groups. It provides answers for where, when and what objects are aggregated. As clustering becomes more important and popular, post-clustering activities that attempt to answer why they (what objects) are there (spatial) and/or then (temporal) need a great attention. This paper suggests a qualitative cluster reasoning framework for reasoning about clusters. Our proposed framework combines two post-clustering activities: cluster polygonization and qualitative spatial reasoning. Experimental results demonstrate that proposed qualitative cluster reasoning reveals interesting cluster structures and rich cluster relations.

Item ID: 8237
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: Voronoi diagram; cluster reasoning; qualitative reasoning
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ISBN: 978-1-4244-5209-5
Date Deposited: 17 Feb 2010 01:19
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 80%
09 ENGINEERING > 0909 Geomatic Engineering > 090903 Geospatial Information Systems @ 20%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100%
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