基于聚类和关联规则的挖掘算法

数据挖掘技术中关联规则可以很好地发现数据项之间存在的相互关系，同时有大量的挖掘算法可供选择。聚类分析就是通过分析数据库中的记录数据，根据一定的分类规则合理地划分记录集合，确定每个记录所在类别。它所采用的分类规则是由聚类分析工具决定的。本文研究 聚类和关联规则的挖掘算法。

Data Mining Algorithms Based on Clustering and Association Rules

The association rules in data mining can find the relationships between data items, and there are plenty of data mining methods to be chosen. Clustering analysis is to differentiate the recorded data collections equitably and determine the class of each recorded data by analysing the recorded data in the database according to particular rules. The sorting rules used in clustering analysis are decided by clustering analysis tools. This paper focuses on the data mining algorithms based on clustering and association rules.