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k-Nearest Neighbors for automated classification of celestial objects

文献类型：期刊论文

作者Li LiLi1,2,3; Zhang YanXia1; Zhao YongHeng1
刊名SCIENCE IN CHINA SERIES G-PHYSICS MECHANICS & ASTRONOMY
出版日期2008-07-01
卷号51期号:7页码:916-922
关键词k-Nearest Neighbors data analysis classification astronomical catalogues
英文摘要The nearest neighbors (NNs) classifiers, especially the k-Nearest Neighbors (kNNs) algorithm, are among the simplest and yet most efficient classification rules and widely used in practice. It is a nonparametric method of pattern recognition. In this paper, k-Nearest Neighbors, one of the most commonly used machine learning methods, work in automatic classification of multi-wavelength astronomical objects. Through the experiment, we conclude that the running speed of the kNN classier is rather fast and the classification accuracy is up to 97.73%. As a result, it is efficient and applicable to discriminate active objects from stars and normal galaxies with this method. The classifiers trained by the kNN method can be used to solve the automated classification problem faced by astronomy and the virtual observatory (VO).
收录类别SCI
语种英语
WOS记录号WOS:000256965800021
源URL[http://ir.bao.ac.cn/handle/114a11/7400]  
专题国家天文台_光学天文研究部
作者单位1.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
2.Hebei Normal Univ, Dept Phys, Shijiazhuang 050016, Peoples R China
3.Weishanlu Middle Sch, Tianjin 300222, Peoples R China
推荐引用方式
GB/T 7714		 Li LiLi,Zhang YanXia,Zhao YongHeng. k-Nearest Neighbors for automated classification of celestial objects[J]. SCIENCE IN CHINA SERIES G-PHYSICS MECHANICS & ASTRONOMY,2008,51(7):916-922.
APA Li LiLi,Zhang YanXia,&Zhao YongHeng.(2008).k-Nearest Neighbors for automated classification of celestial objects.SCIENCE IN CHINA SERIES G-PHYSICS MECHANICS & ASTRONOMY,51(7),916-922.
MLA Li LiLi,et al."k-Nearest Neighbors for automated classification of celestial objects".SCIENCE IN CHINA SERIES G-PHYSICS MECHANICS & ASTRONOMY 51.7(2008):916-922.

入库方式： OAI收割

来源：国家天文台

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