LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy

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	LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy
	Lin, Chen ; Chen, Wenqiang ; Qiu, Cheng ; Wu, Yunfeng ; Krishnan, Sridhar ; Zou, Quan ; Lin C(林琛) ; Zou Q(邹权) ; Wu YF(吴云峰)
刊名	http://dx.doi.org/10.1016/j.neucom.2013.08.004
	2014-01-10
关键词	NEURAL-NETWORK TEXT CATEGORIZATION OPTIMIZATION ACCURACY IDENTIFICATION SETS
英文摘要	Natural Science Foundation of China [61001013, 61102136, 61370010, 81101115]; Natural Science Foundation of Fujian Province of China [2011J05158, 2011J01371, 2010J01351]; Selective ensemble is a learning paradigm that follows an "overproduce and choose" strategy, where a number of candidate classifiers are trained, and a set of several classifiers that are accurate and diverse are selected to solve a problem. In this paper, the hybrid approach called D3C is presented; this approach is a hybrid model of ensemble pruning that is based on k-means clustering and the framework of dynamic selection and circulating in combination with a sequential search method. Additionally, a multi-label D3C is derived from D3C through employing a problem transformation for multi-label classification. Empirical study shows that D3C exhibits competitive performance against other high-performance methods, and experiments in multi-label datasets verify the feasibility of multi-label D3C. (C) 2013 Elsevier B.V. All rights reserved.
语种	英语
出版者	ELSEVIER SCIENCE BV
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92742]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Lin, Chen,Chen, Wenqiang,Qiu, Cheng,et al. LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy[J]. http://dx.doi.org/10.1016/j.neucom.2013.08.004,2014.
APA	Lin, Chen.,Chen, Wenqiang.,Qiu, Cheng.,Wu, Yunfeng.,Krishnan, Sridhar.,...&吴云峰.(2014).LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy.http://dx.doi.org/10.1016/j.neucom.2013.08.004.
MLA	Lin, Chen,et al."LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy".http://dx.doi.org/10.1016/j.neucom.2013.08.004 (2014).