Outlier Data Mining and Analysis of LAMOST Stellar Spectra in Line Index Feature Space

	Outlier Data Mining and Analysis of LAMOST Stellar Spectra in Line Index Feature Space
	Wang Guang-pei 1; Pan Jing-chang 1; Yi Zhen-ping 1; Wei Peng2 ; Jiang Bin 1
刊名	SPECTROSCOPY AND SPECTRAL ANALYSIS
	2016-10-01
卷号	36 期号:10 页码:3364-3368
关键词	Lick line index Outlier datamining Stellar spectra
英文摘要	Large scale spectrum survey will produce mass spectral data and offer chances for searching rare and unknown types of spectra, which is contribute to revealing the evolution law of the universe and the origin of life. Data mining in outlier data in sky survey can serve the purpose of finding special spectra. Line index can be used in spectra data dimension reduction, keeping the spectral physical characteristics as much as possible, and at the same time, it can effectively solve the high dimensional spectral data clustering analysis in the high computation complexity. This paper proposed a method outlier data mining and analysis for massive stellar spectrum survey data based on line index characteristics, according to this, an outlier spectral data analysis method was proposed using line index characteristics space. Experimental results demonstrated that (1) using line index as the characteristic value of the spectrum can quickly perform the outlier data mining for high dimensional spectral data, and it can solve the problem of high computation complexity of the high dimensional spectral data. (2) this outlier data mining method was conducted based on the clustering results; it can effectively finding out emission stars, late type stars, late M type stars, extremely poor metal stars, and even finding spectra data missing certain data. (3) outlier data mining in line index feature space can help to analysis of rules of special stars found in the feature space. The mothed proposed in this paper based on the characteristics of line index outlier data mining and analysis method can be applied to the study of survey data.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Spectroscopy
研究领域[WOS]	Spectroscopy
关键词[WOS]	POPULATIONS ; GALAXY
收录类别	SCI
语种	英语
WOS记录号	WOS:000385475500053
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/6892]
专题	国家天文台_星系宇宙学研究部
作者单位	1.Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China 2.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100012, Peoples R China
推荐引用方式 GB/T 7714	Wang Guang-pei,Pan Jing-chang,Yi Zhen-ping,et al. Outlier Data Mining and Analysis of LAMOST Stellar Spectra in Line Index Feature Space[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2016,36(10):3364-3368.
APA	Wang Guang-pei,Pan Jing-chang,Yi Zhen-ping,Wei Peng,&Jiang Bin.(2016).Outlier Data Mining and Analysis of LAMOST Stellar Spectra in Line Index Feature Space.SPECTROSCOPY AND SPECTRAL ANALYSIS,36(10),3364-3368.
MLA	Wang Guang-pei,et al."Outlier Data Mining and Analysis of LAMOST Stellar Spectra in Line Index Feature Space".SPECTROSCOPY AND SPECTRAL ANALYSIS 36.10(2016):3364-3368.