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	An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification
	Xing, Hong-Jie[1]; Hua, Bao-Gang[2]
刊名	NEUROCOMPUTING
	2008
卷号	71期号:4-6页码:1008-1021
关键词	mixture of experts Gaussian neural network unlabeled data classification
ISSN号	0925-2312
DOI	http://dx.doi.org/10.1016/j.neucom.2007.02.010
URL标识	查看原文
收录类别	SCI(E)
WOS记录号	WOS:000253663800057
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5968421
专题	河北大学
作者单位	1.[1]Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China.,Chinese Acad Sci, Beijing Grad Sch, Beijing, Peoples R China. 2.Hebei Univ, Coll Math & Comp Sci, Baoding, Peoples R China. 3.[2]Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China.,Chinese Acad Sci, Beijing Grad Sch, Beijing, Peoples R China.
推荐引用方式 GB/T 7714	Xing, Hong-Jie[1],Hua, Bao-Gang[2]. An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification[J]. NEUROCOMPUTING,2008,71(4-6):1008-1021.
APA	Xing, Hong-Jie[1],&Hua, Bao-Gang[2].(2008).An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification.NEUROCOMPUTING,71(4-6),1008-1021.
MLA	Xing, Hong-Jie[1],et al."An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification".NEUROCOMPUTING 71.4-6(2008):1008-1021.

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