Rapid Identification of Variable Star Spectrum Based on Information Entropy
CAI Jiang-hui1,2, MENG Wen-jun2, SUN Shi-wei3, ZHAO Xu-jun1, ZHANG Ji-fu1
1. School of Computer Science and Technology, Taiyuan University of Science & Technology, Taiyuan 030024, China 2. School of Mechatronic Engineering，Taiyuan University of Science & Technology, Taiyuan 030024, China 3. National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China
Abstract：Variable star is very important for mankind studying cosmic origin and evolution. For studying variable star, the chief difficulty results from the filtration and identification of variable star, that is how to validly identify variable star spectra from large high-dimensional star spectra data. The traditional outlier definition tries to find the difference between the outlier data and the general model by different ways, and then the result is quantitatively analyzed and filtrated. However, the time complexity of this method is over size and its results are inscrutable and unaccountable. Information entropy is a measure of the uncertainty associated with a random variable. In the present paper, information entropy is imported as the standard of dataset common mode. A novel method is proposed to identify the variable star spectrum rapidly based on information entropy. The time complexity of this method is observably reduced and the man-made impact is effectively overcome. The preliminary experimental results based on Sloan star spectrum data show that the method is workable for rapid identification of variable star spectrum.
Key words：Variable star spectrum;Information entropy;Outlier mining
蔡江辉1,2，孟文俊2，孙士卫3，赵旭俊1，张继福1 . 基于信息熵的变星光谱快速识别方法[J]. 光谱学与光谱分析, 2012, 32(01): 255-258.
CAI Jiang-hui1,2, MENG Wen-jun2, SUN Shi-wei3, ZHAO Xu-jun1, ZHANG Ji-fu1 . Rapid Identification of Variable Star Spectrum Based on Information Entropy. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(01): 255-258.
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