Stellar Spectra Classification by Support Vector Machine with Spectral Distribution Properties

LIU Zhong-bao; QIN Zhen-tao; LUO Xue-gang; ZHOU Fang-xiao; ZHANG Jing

doi:10.3964/j.issn.1000-0593(2019)04-1307-05

Journals >Spectroscopy and Spectral Analysis >Volume 39 >Issue 4 >Page 1307 > Article

Spectroscopy and Spectral Analysis
Vol. 39, Issue 4, 1307 (2019)

Stellar Spectra Classification by Support Vector Machine with Spectral Distribution Properties

LIU Zhong-bao^1、2、*, QIN Zhen-tao¹, LUO Xue-gang¹, ZHOU Fang-xiao¹, and ZHANG Jing¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2019)04-1307-05 Cite this Article

LIU Zhong-bao, QIN Zhen-tao, LUO Xue-gang, ZHOU Fang-xiao, ZHANG Jing. Stellar Spectra Classification by Support Vector Machine with Spectral Distribution Properties[J]. Spectroscopy and Spectral Analysis, 2019, 39(4): 1307 Copy Citation Text

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References

[2] Peng N B, Zhang Y X, Zhao Y H, et al. Monthly Notices of the Royal Astronomical Society, 2012, 425(4): 2599.

[4] Shi F, Liu Y Y, Sun G L, et al. Monthly Notices of the Royal Astronomical Society, 2015, 453(1): 122.

[5] Liu Z B. Journal of Astrophysics and Astronomy, 2016, 37(2): 9.

[6] Jayadeva R K, Khemchandani R, Chandra S. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, 29(5): 905.

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