Qualitative cluster reasoning framework for decision making
Qu, Yang, Lee, Kyungmi, and Lee, Ickjai (2009) Qualitative cluster reasoning framework for decision making. Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC. 2009 Fifth International Joint Conference on INC, IMS and IDC , 25-27 August 2009, Seoul, Korea , pp. 1321-1326.
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View at Publisher Website: http://dx.doi.org/10.1109/NCM.2009.79
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 Type:||Conference Item (Refereed Research Paper - E1)|
|Keywords:||Voronoi diagram; cluster reasoning; qualitative reasoning|
|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%|
|Deposited On:||17 Feb 2010 11:19|
|Last Modified:||30 Sep 2011 13:31|
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