Cluster polygonization and qualitative cluster reasoning: overview
Qu, Yang, Lee, Kyungmi, and Lee, Ickjai (2011) Cluster polygonization and qualitative cluster reasoning: overview. International Journal of Advancements in Computing Technology, 3 (3). pp. 1-9.
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Clustering groups similar objects and separates dissimilar objects. It has been widely used in many geospatial data mining applications. It reports aggregations and concentrations in large databases. There has been a lot of research in clustering, but relatively less attention has been paid to what contributed to those clusters. This article overviews qualitative reasoning techniques for clusters, and reviews qualitative cluster reasoning framework.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||cluster reasoning, qualitative spatial reasoning, post-clustering|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%|
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%|
|Deposited On:||27 Feb 2012 12:53|
|Last Modified:||28 Jun 2012 17:11|
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