关键词: 聚类融合, 选择性聚类融合, 选择策略, 融合函数

Abstract: 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, gives the survey of clustering ensemble selection algorithms and discusses the future directions of clustering ensemble selection.

Key words: clustering ensemble, clustering ensemble selection, selection strategy, consensus function