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Articles by Pi Dechang
Total Records ( 1 ) for Pi Dechang
  Pi Dechang and Qin Xiaolin
  A great number of association rules found in the dataset makes the decision maker dizzy to analyze and use. A new algorithm for association rules clustering is proposed and applied to association rules clustering. Firstly, an example is presented to demonstrate the weakness by the distance measure for clustering. Secondly, the definition of fuzzy simulation degree and simulated matrix for association rules are put forward. Thirdly, a new algorithm based on a dynamic tree is brought forward, which can be used to implement the fuzzy clustering. Experiment shows that this algorithm can efficiently cluster the association rules for a user to understand.
 
 
 
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