关键词: 交易数据库, 自组织映射, 向量空间模型, 聚类

Abstract: This paper studies a clustering algorithm of transaction database based on self-organizing map(SOM) neural network. The method first uses SOM to produce a clustering result by learning data item of transaction database. Then, in the second stage, the clustering results are clustered again. To compare with other clustering method for transaction database, the method performs well and reduces runtime.

Key words: transaction database, self-organizing map, VSM, clustering