基于多类支持向量机的恒星光谱分类方法

doi:10.3964/j.issn.1000-0593(2018)07-2307-04

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Abstract Support vector machine (SVM), a typical classification method, has been widely used in stellar spectra classification. It performs well in practice, while it encounters the multi-class classification challenge. In order to solve the problem above, multi-class support vector machine (MCSVM) was proposed in this paper based on the in-depth analysis of SVM. Meanwhile, the stellar spectra classification model based on multi-class support vector machine was constructed. The advantage of the proposed method is that the samples’ class can be determined by a classification process. Comparative experiments with the existed multi-class classification method on the SDSS DR8 datasets verify the effectiveness of the proposed method.

Key words：Support vector machine; Multi-class support vector machine; Stellar spectra; Automatic classification

Received: 2017-07-30 Accepted: 2017-11-16

ZTFLH:

TP391

Corresponding Authors: LIU Zhong-bao E-mail: liz_zhongbao@hotmail.com

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http://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2018)07-2307-04 OR http://www.gpxygpfx.com/EN/Y2018/V38/I07/2307