A Novel Clustering-Ensemble Approach
Clustering Ensemble is more and more becoming a new hotspot to improve clustering performance Since it was firstly presented in2002. Through using the mechanism of the integrate mechanism of testing and information rolling method to decrease the error probability of matching cluster members, and using a method of category weight to ensemble clustering members, this paper proposes a novel Clustering Ensemble algorithm. Experiments show that this algorithm could effectively improve the clustering results.
Clustering Ensemble Consensus Function testing category weight
Zhizhou KONG Lai WEI Shenggang YANG Dong GUAN Zixing CAI
College of Statistics Hunan University Changsha,China College of finance Hunan University Changsha,China College of Information Science and Engineer Central South University Changsha,China
国际会议
上海
英文
722-724
2008-05-16(万方平台首次上网日期,不代表论文的发表时间)