中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Random forest algorithm for classification of multiwavelength data

文献类型:期刊论文

作者Gao, Dan1,2; Zhang, Yan-Xia1; Zhao, Yong-Heng1
刊名RESEARCH IN ASTRONOMY AND ASTROPHYSICS
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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