A Survey: Clustering Ensemble Selection

被引:1
|
作者
Min, Liu Li [1 ]
Ping, Fan Xiao [1 ]
机构
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China
来源
关键词
clustering ensemble; clustering ensemble selection; consensus function; JC; cluster and select; nonnegative matrix factorization;
D O I
10.4028/www.scientific.net/AMR.403-408.2760
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Traditional clustering ensemble combines all of the available clustering partitions to get the final clustering result. But in supervised classification area,it has been known that selective classifier ensembles can always achieve better solutions. Following the selective classifier ensembles,the question of clustering ensemble is defined as clustering ensemble selection. The paper introduces the concept of clustering ensemble selection and gives the survey of clustering ensemble selection algorithms.
引用
收藏
页码:2760 / 2763
页数:4
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