The Application of Clustering Analysis to Transactional Data-set with Interconnecting Cluster Method

A clustering analysis algorithm in transactional data-set to use interconnecting cluster is presented. And it is modified for two step of more time consuming. In precondition of ensuring (quality), the running rate is improved. So, it gains reasonable market subsection and forecasts purchasing of customers, by clustering analysis to transactional data-set practically. Experimental result making clear, the algorithm has nicer effect clustering.