Self-training semi-supervised classification based on density peaks of data

doi:10.1016/j.neucom.2017.05.072

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 大数据挖掘及应用中心

	Self-training semi-supervised classification based on density peaks of data
	Wu, Di1,2 ; Shang, Mingsheng1 ; Luo, Xin1 ; Xu, Ji 1,3; Yan, Huyong 1; Deng, Weihui 1; Wang, Guoyin 1
刊名	NEUROCOMPUTING
	2018-01-31
卷号	275 页码:180-191
关键词	Density peaks Self-training Semi-supervised classification Supervised learning
ISSN号	0925-2312
DOI	10.1016/j.neucom.2017.05.072
英文摘要	Having a multitude of unlabeled data and few labeled ones is a common problem in many practical applications. A successful methodology to tackle this problem is self-training semi-supervised classification. In this paper, we introduce a method to discover the structure of data space based on find of density peaks. Then, a framework for self-training semi-supervised classification, in which the structure of data space is integrated into the self-training iterative process to help train a better classifier, is proposed. A series of experiments on both artificial and real datasets are run to evaluate the performance of our proposed framework. Experimental results clearly demonstrate that our proposed framework has better performance than some previous works in general on both artificial and real datasets, especially when the distribution of data is non-spherical. Besides, we also find that the support vector machine is particularly suitable for our proposed framework to play the role of base classifier. (C) 2017 Elsevier B.V. All rights reserved.
资助项目	National Science and Technology Major Project[2014ZX07104-006] ; National Natural Science Foundation of China (NSFC)[61272060] ; National Natural Science Foundation of China (NSFC)[91646114] ; CAS[Y500091BR1]
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000418370200018
内容类型	期刊论文
源URL	[http://172.16.51.4:88/handle/2HOD01W0/82]
专题	大数据挖掘及应用中心
通讯作者	Shang, Mingsheng; Wang, Guoyin
作者单位	1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing 400714, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Wu, Di,Shang, Mingsheng,Luo, Xin,et al. Self-training semi-supervised classification based on density peaks of data[J]. NEUROCOMPUTING,2018,275:180-191.
APA	Wu, Di.,Shang, Mingsheng.,Luo, Xin.,Xu, Ji.,Yan, Huyong.,...&Wang, Guoyin.(2018).Self-training semi-supervised classification based on density peaks of data.NEUROCOMPUTING,275,180-191.
MLA	Wu, Di,et al."Self-training semi-supervised classification based on density peaks of data".NEUROCOMPUTING 275(2018):180-191.