Mining qualitative patterns in spatial cluster analysis

  • Lee I
  • Qu Y
  • Lee K
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Abstract

Clustering is an important concept formation process within AI. It detects a set of objects with similar characteristics. These similar aggregated objects represent interesting concepts and categories. As clustering becomes more mature, post-clustering activities that reason about clusters need a great attention. Numerical quantitative information about clusters is not as intuitive as qualitative one for human analysis, and there is a great demand for an intelligent qualitative cluster reasoning technique in data-rich environments. This article introduces a qualitative cluster reasoning framework that reasons about clusters. Experimental results demonstrate that our proposed qualitative cluster reasoning reveals interesting cluster structures and rich cluster relations. © 2011 Elsevier Ltd. All rights reserved.

Author-supplied keywords

  • Cluster reasoning
  • Mining patterns
  • Qualitative spatial reasoning
  • Spatial cluster

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Authors

  • Ickjai Lee

  • Yang Qu

  • Kyungmi Lee

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