A critical issue in dealing with voluminous records is that of data integration. Integration of data from two data bases has been studied well. For example, FEBRL is an excellent system for integrating two databases. Not much work has been conducted to integrate more than two databases. In practice, for example, health care networks have to often integrate many more databases than two. In this paper we offer hierarchical clustering based solutions to integrate multiple data sets. We also present experimental data that indicate that our algorithms perform well.