基于聚类的多数据库分类算法的研究与实现

Research and Implementation Classification Algorithm of Multiple Databases Based On Clustering

针对多数据库挖掘的预处理，提出了运用聚类的思想来对数据库进行分类。同时，提出了改进的BestClassification算法。通过实验证明这种分类方法具有较好的有效性和正确性。

For multi-database mining pretreatment, proposed the idea of clustering to use the database to classify. At the same time, to improve the BestClassification algorithm. This classification method is better the effectiveness and accuracy proved by experiments.