Mining qualitative patterns in spatial cluster analysis

Lee, Ickjai;Qu, Yang;Lee, Kyungmi

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.

Journal

Expert Systems with Applications

Publication Name

N/A

Volume

ISBN/ISSN

0957-4174

Edition

N/A

Issue

Pages Count

Location

N/A

Publisher

Elsevier

Publisher Url

N/A

Publisher Location

N/A

Publish Date

N/A

Url

N/A

Date

N/A

EISSN

N/A

DOI

10.1016/j.eswa.2011.08.079