Automated clustering algorithms for classification of astronomical objects
文献类型：期刊论文
| 作者 | Zhang, Y; Zhao, Y
|
| 刊名 | ASTRONOMY & ASTROPHYSICS
 |
| 出版日期 | 2004-08-01 |
| 卷号 | 422期号:3页码:1113-1121 |
| 关键词 | methods : data analysis methods : statistical astronomical data bases : miscellaneous catalogs |
| 英文摘要 | Data mining is an important and challenging problem for the efficient analysis of large astronomical databases and will become even more important with the development of the Global Virtual Observatory. In this study, learning vector quantization (LVQ), single-layer perceptron (SLP) and support vector machines (SVM) were used for multi-wavelength data classification. A feature selection technique was used to evaluate the significance of the considered features for the results of classification. We conclude that in the situation of fewer features, LVQ and SLP show better performance. In contrast, SVM shows better performance when considering more features. The focus of the automatic classification is on the development of an efficient feature-based classifier. The classifiers trained by these methods can be used to preselect AGN candidates. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000223659500037 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/8113]  |
| 专题 | 国家天文台_应用天文研究部 |
| 作者单位 | Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Y,Zhao, Y. Automated clustering algorithms for classification of astronomical objects[J]. ASTRONOMY & ASTROPHYSICS,2004,422(3):1113-1121. |
| APA | Zhang, Y,&Zhao, Y.(2004).Automated clustering algorithms for classification of astronomical objects.ASTRONOMY & ASTROPHYSICS,422(3),1113-1121. |
| MLA | Zhang, Y,et al."Automated clustering algorithms for classification of astronomical objects".ASTRONOMY & ASTROPHYSICS 422.3(2004):1113-1121. |
入库方式： OAI收割
来源：国家天文台
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