A SVM-kNN method for quasar-star classification
文献类型：期刊论文
| 作者 | Peng NanBo1,2; Zhang YanXia1 ; Zhao YongHeng1
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| 刊名 | SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
 |
| 出版日期 | 2013-06-01 |
| 卷号 | 56期号:6页码:1227-1234 |
| 关键词 | classification stars/quasars algorithm: SVM kNN data analysis |
| 英文摘要 | We integrate k-Nearest Neighbors (kNN) into Support Vector Machine (SVM) and create a new method called SVM-kNN. SVM-kNN strengthens the generalization ability of SVM and apply kNN to correct some forecast errors of SVM and improve the forecast accuracy. In addition, it can give the prediction probability of any quasar candidate through counting the nearest neighbors of that candidate which is produced by kNN. Applying photometric data of stars and quasars with spectral classification from SDSS DR7 and considering limiting magnitude error is less than 0.1, SVM-kNN and SVM reach much higher performance that all the classification metrics of quasar selection are above 97.0%. Apparently, the performance of SVM-kNN has slighter improvement than that of SVM. Therefore SVM-kNN is such a competitive and promising approach that can be used to construct the targeting catalogue of quasar candidates for large sky surveys. |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000319072700023 |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/6000]  |
| 专题 | 国家天文台_光学天文研究部 |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Peng NanBo,Zhang YanXia,Zhao YongHeng. A SVM-kNN method for quasar-star classification[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,2013,56(6):1227-1234. |
| APA | Peng NanBo,Zhang YanXia,&Zhao YongHeng.(2013).A SVM-kNN method for quasar-star classification.SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,56(6),1227-1234. |
| MLA | Peng NanBo,et al."A SVM-kNN method for quasar-star classification".SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY 56.6(2013):1227-1234. |
入库方式： OAI收割
来源：国家天文台
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