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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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 (Research - E1) |
| ISBN: | 978-1-4244-5209-5 |
| Keywords: | Voronoi diagram; cluster reasoning; qualitative reasoning |
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| 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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