The application of K-medoids and PAM to the clustering of rules

被引：0
|
作者：
Reynolds, AP [1 ]
Richards, G [1 ]
Rayward-Smith, VJ [1 ]
机构：
[1] Univ E Anglia, Sch Comp Sci, Norwich NR4 7TJ, Norfolk, England
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING IDEAL 2004, PROCEEDINGS | 2004年 / 3177卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Earlier research has resulted in the production of an 'all-rules' algorithm for data-mining that produces all conjunctive rules of above given confidence and coverage thresholds. While this is a useful tool, it may produce a large number of rules. This paper describes the application of two clustering algorithms to these rules, in order to identify sets of similar rules and to better understand the data.
引用
收藏
页码：173 / 178
页数：6
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