Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field.
多分类器组合是解决复杂模式识别问题的有效办法。
Clustering ensemble is inspired by multiple classifiers ensemble. As a novel research topic, clustering ensemble has been proved to improve the performance of traditional clustering algorithms.
受分类集成技术的启示，聚类集成作为当今的研究热点已被证明能有效地提高传统聚类算法的性能。
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