Cluster ensemble method for databases with mixed numeric and categorical values
Shouju Ren · Journal of Tsinghua University(Science and Technology) · 2006
Real-world intelligent databases always have mixed numeric and categorical values which are difficult to cluster.An ensemble-based mixed attribute cluster model was developed for mixed numeric and categorical databases based on the cluster ensemble method.The objective function and the methodology are described in the paper.The method has excellent scalability.Experimental results on real datasets show that the clustering accuracy is better than existing mixed numeric and categorical data clustering algorithms.