中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
distinguishingtherarespectrawiththeunbalancedclassificationmethodbasedonmutualinformation

文献类型:期刊论文

作者Liu Zhongbao3; Ren Juanjuan2; Kong Xiao1
刊名光谱学与光谱分析
出版日期2016
卷号36期号:11页码:3746
ISSN号1000-0593
英文摘要Distinguishing the rare spectra from the majority of stellar spectra is one of quite important issues in astronomy. As the size of the rare spectra is much smaller than the majority of the spectra, many traditional classifiers can't work effectively because they only focus on the classification accuracy and have not paid e-nough attentions on the rare spectra. In view of this,the relationship between the decision tree and mutual information is discussed on the basis of summarizing the traditional classifiers, and the cost-free decision tree based on mutual information is proposed in this paper to improve the performance of distinguishing the rare spectra. In the experiment, we investigate the performance of the proposed method on the K-type,F-type, G-type, M-type datasets from Sloan Digital Sky Survey (SDSS),Data Release 8. It can be concluded that the proposed method can complete the rare spectra distinguishing task compared with several traditional classifiers.
语种英语
源URL[http://ir.bao.ac.cn/handle/114a11/43364]  
专题中国科学院国家天文台
作者单位1.中国科学院国家天文台
2.中国科学院
3.中北大学
推荐引用方式
GB/T 7714
Liu Zhongbao,Ren Juanjuan,Kong Xiao. distinguishingtherarespectrawiththeunbalancedclassificationmethodbasedonmutualinformation[J]. 光谱学与光谱分析,2016,36(11):3746.
APA Liu Zhongbao,Ren Juanjuan,&Kong Xiao.(2016).distinguishingtherarespectrawiththeunbalancedclassificationmethodbasedonmutualinformation.光谱学与光谱分析,36(11),3746.
MLA Liu Zhongbao,et al."distinguishingtherarespectrawiththeunbalancedclassificationmethodbasedonmutualinformation".光谱学与光谱分析 36.11(2016):3746.

入库方式: OAI收割

来源:国家天文台

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。