A Fuzzy Clustering Algorithm Based on Parameter Optimization in Large Transaction Database

Wei Su; Xue Zhang; Jia Jing Xu

doi:10.4028/www.scientific.net/AMR.989-994.2431

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A Fuzzy Clustering Algorithm Based on Parameter...

A Fuzzy Clustering Algorithm Based on Parameter Optimization in Large Transaction Database

Abstract:

In view of the discretization of continuous attributes of civil aviation radar intelligence data, this paper proposes a fuzzy partition algorithm of continuous attributes based on weighted index and optimization of clustering number, and its automatic determination of optimal weighted index m and optimal clustering number c overcomes the shortcomings of current attribute fuzzy methods of manual determination of classification number and no consideration of geometry data. The experimental results verify the validity and feasibility of fuzzy attribute discretization of civil aviation radar intelligence data characteristics.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2431-2437

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2431

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Online since:

July 2014

Authors:

Wei Su*, Xue Zhang, Jia Jing Xu

Keywords:

Clustering Number, Continuous Attributes, Fuzzy Clustering Algorithm, Weighted Index

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