NAOC Open IR  > 应用天文研究部
Automated clustering algorithms for classification of astronomical objects
Zhang, Y; Zhao, Y
2004-08-01
Source PublicationASTRONOMY & ASTROPHYSICS
Volume422Issue:3Pages:1113-1121
AbstractData 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.
KeywordMethods : Data Analysis Methods : Statistical Astronomical Data Bases : Miscellaneous Catalogs
DOI10.1051/0004-6361:20040141
Indexed BySCI
Language英语
WOS IDWOS:000223659500037
Citation statistics
Cited Times:45[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/8113
Collection应用天文研究部
AffiliationChinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Y]'s Articles
[Zhao, Y]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Y]'s Articles
[Zhao, Y]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Y]'s Articles
[Zhao, Y]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.