光谱学与光谱分析 |
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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 |
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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.
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Received: 2015-05-18
Accepted: 2015-11-23
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Corresponding Authors:
PAN Jing-chang
E-mail: pjc@sdu.edu.cn
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