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Learning vector quantization for classifying astronomical objects
Zhang, YX; Zhao, YH
2003-04-01
Source PublicationCHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS
Volume3Issue:2Pages:183-190
AbstractThe sizes of astronomical surveys in different wavebands are increasing rapidly. Therefore, automatic classification of objects is becoming ever more important. We explore the performance of learning vector quantization (LVQ) in classifying multi-wavelength data. Our analysis concentrates on separating active sources from non-active ones. Different classes of X-ray emitters populate distinct regions of a multidimensional parameter space. In order to explore the distribution of various objects in a multidimensional parameter space, we positionally cross-correlate the data of quasars, BL Lacs, active galaxies, stars and normal galaxies in the optical, X-ray and infrared bands. We then apply LVQ to classify them with the obtained data. Our results show that LVQ is an effective method for separating AGNs from stars and normal galaxies with multi-wavelength data.
KeywordMethod : Data Analysis Method : Statistical Catalogs
Indexed BySCI
Language英语
WOS IDWOS:000182382800011
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/8416
Collection光学天文研究部
AffiliationChinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
Recommended Citation
GB/T 7714
Zhang, YX,Zhao, YH. Learning vector quantization for classifying astronomical objects[J]. CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,2003,3(2):183-190.
APA Zhang, YX,&Zhao, YH.(2003).Learning vector quantization for classifying astronomical objects.CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,3(2),183-190.
MLA Zhang, YX,et al."Learning vector quantization for classifying astronomical objects".CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS 3.2(2003):183-190.
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