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Learning vector quantization for classifying astronomical objects
Zhang, YX; Zhao, YH
2003-04-01
发表期刊CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS
卷号3期号:2页码:183-190
摘要The 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.
关键词Method : Data Analysis Method : Statistical Catalogs
收录类别SCI
语种英语
WOS记录号WOS:000182382800011
引用统计
被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bao.ac.cn/handle/114a11/8416
专题光学天文研究部
作者单位Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
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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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