Self-training semi-supervised classification based on density peaks of data
文献类型：期刊论文
| 作者 | Wu, Di1,2 ; Shang, Mingsheng1; Luo, Xin1; Xu, Ji1,3; Yan, Huyong1; Deng, Weihui1; Wang, Guoyin1
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| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 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 |
| WOS记录号 | WOS:000418370200018 |
| 出版者 | ELSEVIER SCIENCE BV |
| 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. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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