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Mining qualitative patterns in spatial cluster analysis
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DOI：10.1016/j.eswa.2011.08.079.png)
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Clustering is an important concept formation process within Al. 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. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Qualitative spatial reasoning
Cluster reasoning
Spatial cluster
Mining patterns
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7.5
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2.9W
被引数:
10.2W
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