Qualitative cluster reasoning framework for decision making

Conference Publication ResearchOnline@JCU
Qu, Yang;Lee, Kyungmi;Lee, Ickjai
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.

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2009 Fifth International Joint Conference on INC, IMS and IDC

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ISBN/ISSN

978-1-4244-5209-5

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Location

Seoul, Korea

Publisher

IEEE Computer Society

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Publisher Location

Piscataway, NJ, USA

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DOI

10.1109/NCM.2009.79