Unsupervised extreme learning machine with representational features

doi:10.1007/s13042-015-0351-8

	Unsupervised extreme learning machine with representational features
	Ding, Shifei 1,2; Zhang, Nan 1,2; Zhang, Jian 1,2; Xu, Xinzheng 1,2; Shi, Zhongzhi 2
	2017-04-01
发表期刊	INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
ISSN	1868-8071
卷号	8 期号:2 页码:587-595
摘要	Extreme learning machine (ELM) is not only an effective classifier but also a useful cluster. Unsupervised extreme learning machine (US-ELM) gives favorable performance compared to state-of-the-art clustering algorithms. Extreme learning machine as an auto encoder (ELM-AE) can obtain principal components which represent original samples. The proposed unsupervised extreme learning machine based on embedded features of ELM-AE (US-EF-ELM) algorithm applies ELM-AE to US-ELM. US-EF-ELM regards embedded features of ELM-AE as the outputs of US-ELM hidden layer, and uses US-ELM to obtain the embedded matrix of US-ELM. US-EF-ELM can handle the multi-cluster clustering. The learning capability and computational efficiency of US-EF-ELM are as same as US-ELM. By experiments on UCI data sets, we compared US-EF-ELM k-means algorithm with k-means algorithm, spectral clustering algorithm, and US-ELM k-means algorithm in accuracy and efficiency.
关键词	Data clustering Extreme learning machine (ELM) Extreme learning machine as an auto encoder (ELM-AE) Unsupervised learning
DOI	10.1007/s13042-015-0351-8
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61379101] ; National Key Basic Research Program of China[2013CB329502] ; Natural Science Foundation of Jiangsu Province[BK20130209]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000398821300014
出版者	SPRINGER HEIDELBERG
引用统计	被引频次：72[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/7278
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Ding, Shifei
作者单位	1.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Ding, Shifei,Zhang, Nan,Zhang, Jian,et al. Unsupervised extreme learning machine with representational features[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2017,8(2):587-595.
APA	Ding, Shifei,Zhang, Nan,Zhang, Jian,Xu, Xinzheng,&Shi, Zhongzhi.(2017).Unsupervised extreme learning machine with representational features.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,8(2),587-595.
MLA	Ding, Shifei,et al."Unsupervised extreme learning machine with representational features".INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 8.2(2017):587-595.