Random forest algorithm for classification of multiwavelength data
文献类型:期刊论文
作者 | Gao, Dan1,2; Zhang, Yan-Xia1![]() ![]() |
刊名 | RESEARCH IN ASTRONOMY AND ASTROPHYSICS
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出版日期 | 2009-02-01 |
卷号 | 9期号:2页码:220-226 |
关键词 | classification astronomical databases: miscellaneous catalogs methods: data analysis methods: statistical |
英文摘要 | We introduced a decision tree method called Random Forests for multiwavelength data classification. The data were adopted from different databases, including the Sloan Digital Sky Survey (SDSS) Data Release five, USNO, FIRST and ROSAT. We then studied the discrimination of quasars from stars and the classification of quasars, stars and galaxies with the sample from optical and radio bands and with that from optical and X-ray bands. Moreover, feature selection and feature weighting based on Random Forests were investigated. The performances based on different input patterns were compared. The experimental results show that the random forest method is an effective method for astronomical object classification and can be applied to other classification problems faced in astronomy. In addition, Random Forests will show its superiorities due to its own merits, e.g. classification, feature selection, feature weighting as well as outlier detection. |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000264845000011 |
源URL | [http://ir.bao.ac.cn/handle/114a11/8347] ![]() |
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.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Gao, Dan,Zhang, Yan-Xia,Zhao, Yong-Heng. Random forest algorithm for classification of multiwavelength data[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2009,9(2):220-226. |
APA | Gao, Dan,Zhang, Yan-Xia,&Zhao, Yong-Heng.(2009).Random forest algorithm for classification of multiwavelength data.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,9(2),220-226. |
MLA | Gao, Dan,et al."Random forest algorithm for classification of multiwavelength data".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 9.2(2009):220-226. |
入库方式: OAI收割
来源:国家天文台
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