A Clustering-Ensemble Approach Based on Average Mutual Information
Zhizhou Kong, Shenggang Yang, Zixing Cai, Dong Guan · 2008
Since clustering ensemble was firstly presented in 2002, it is more and more becoming a new hotspot to improve clustering performance. Through using the mechanism of information rolling and selecting component clusters with the help of mutual information weight, this paper proposes a new clustering ensemble algorithm. Experiments show that this algorithm could effectively improve the clustering results.