Research on the Clustering of Massive Stellar Spectra Based on Line Index
WANG Guang-pei1, PAN Jing-chang1*, YI Zhen-ping1, WEI Peng2, JIANG Bin1
1. School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Weihai 264209, China 2. Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
Abstract:Clustering algorithm is an important algorithm used to find the data distribution and implicit scheme in data mining. It can study spectra of large amount, multi-parameter and categories unknown simply and effectively. Using lick index as the eigenvalues of spectra can effectively improve the speed to calculate the high-dimensional spectra which can also retain more astrophysical characteristics of spectra. This paper finishes clustering of the survey data with k-means algorithm, using lick index as the eigenvalues of data with finished analysis results. The results show that the new method can gather data with similar physical characteristics together quicker and efficiently, with very good results in discovering rare stars. This method can be applied to the study of Survey data.
Key words:Lick line index;Clustering;Stellar spectra
王光沛1,潘景昌1*,衣振萍1,韦 鹏2,姜 斌1 . 基于线指数特征的海量恒星光谱聚类分析研究 [J]. 光谱学与光谱分析, 2016, 36(08): 2646-2650.
WANG Guang-pei1, PAN Jing-chang1*, YI Zhen-ping1, WEI Peng2, JIANG Bin1 . Research on the Clustering of Massive Stellar Spectra Based on Line Index . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(08): 2646-2650.
[1] Cui X, Zhao Y, Chu Y, et al. Research in Astron. Astrophys, 2012, 12(9): 1197. [2] Luo A, et al. Research in Astron. Astrophys, 2012, 12(9): 1243. [3] Zhao G, et al. Research in Astron. Astrophys, 2012, 12(7): 723. [4] Wei P, Luo A, Li Y, et al. Monthly Notices of the Royal Astronomical Society, 2013, 431(2): 1800. [5] Wei P, Luo A, Li Y, et al. Astronomical Journal, 2014, 147(5). [6] Jain A K, Dubes R C. Algorithms for Clustering Data. Englewood Cliffs: Prentice Hall, 1988. [7] Jain A K, Murty M N, Flynn P J. Data Clustering: A review. ACM Computing Surveys (CSUR), 1999, 31(3): 264. [8] TAN Xin, PAN Jing-chang, WANG Jie, et al(谭 鑫, 潘景昌, 王 杰, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(6): 1701. [9] Guy Worthey, Faber S M, et al. The Astrophysical Journal Supplement Series, 1994, 94: 687. [10] Trager S C, Guy Worthey, et al. Astrophysical Journal Supplement Series, 1998, 116(1): 1. [11] YAN Tai-sheng, ZHANG Yan-xia, ZHAO Yong-heng, et al(严太生, 张彦霞, 赵永恒, 等). Progress in Astronomy(天文学进展), 2010, 28(2): 112. [12] Hartigan J A, Wong M A. Algorithm AS 136: A k-Means Clustering Algorithm. Applied Statistics, 1979. 100.