Mining qualitative patterns in spatial cluster analysis

Ickjai Lee

doi:10.1016/j.eswa.2011.08.079

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Mining qualitative patterns in spatial cluster analysis

2012-02-01

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Ickjai Lee *

Qu Yang

Kyungmi Lee

DOI：10.1016/j.eswa.2011.08.079

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Abstract

En 中文

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.

Keywords:

Qualitative spatial reasoning

Cluster reasoning

Spatial cluster

Mining patterns

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