NAOC Open IR
Spectral Classification and Particular Spectra Identification Based on Data Mining
Yang, Peng1,2; Yang, Guowei1; Zhang, Fanlong1; Jiang, Bing3; Wang, Mengxin4
2020-01-07
Source PublicationARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
ISSN1134-3060
Pages19
AbstractSpectral classification and particular spectra identification are primary tasks for celestial object study in astronomy. With the developing of large spectrographic surveys, huge volumes of spectral data can be easily obtained and various data mining methods have been widely applied to assist astronomers for automatic spectral analysis. In this paper, we review these methods in detail and analyze their advantages as well as disadvantages. Moreover, experimental results of the representative methods are reported and discussed from different perspectives, including number of training and testing samples, feature extraction scheme, classifier selection and performance evaluation. Finally, we point out the existing problems and the potential research trend.
Funding OrganizationSub Project of National Key Research and Development Program ; Sub Project of National Key Research and Development Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Sub Project of National Key Research and Development Program ; Sub Project of National Key Research and Development Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Sub Project of National Key Research and Development Program ; Sub Project of National Key Research and Development Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Sub Project of National Key Research and Development Program ; Sub Project of National Key Research and Development Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China
DOI10.1007/s11831-020-09401-9
WOS KeywordSTELLAR SPECTRA ; NEURAL-NETWORKS ; AUTOMATED CLASSIFICATION ; SUPERNOVA CANDIDATES ; GALAXY MORPHOLOGY ; DIMENSIONALITY ; ALGORITHM ; STARS
Language英语
Funding ProjectSub Project of National Key Research and Development Program[2017YFC0804002] ; National Natural Science Foundation of China[61662048] ; National Natural Science Foundation of China[61772277] ; National Natural Science Foundation of China[61603192]
Funding OrganizationSub Project of National Key Research and Development Program ; Sub Project of National Key Research and Development Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Sub Project of National Key Research and Development Program ; Sub Project of National Key Research and Development Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Sub Project of National Key Research and Development Program ; Sub Project of National Key Research and Development Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Sub Project of National Key Research and Development Program ; Sub Project of National Key Research and Development Program ; National Natural Science Foundation of China ; National Natural Science Foundation of China
WOS Research AreaComputer Science ; Engineering ; Mathematics
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000574146500001
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/81612
Collection中国科学院国家天文台
Corresponding AuthorYang, Guowei
Affiliation1.Nanjing Audit Univ, Sch Informat Engn, Nanjing, Peoples R China
2.Nanchang Hangkong Univ, Sch Informat Engn, Nanchang, Jiangxi, Peoples R China
3.Nanjing Univ, Sch Astron & Space Sci, Nanjing, Peoples R China
4.Chinese Acad Sci NAOC, Natl Astron Observ, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Yang, Peng,Yang, Guowei,Zhang, Fanlong,et al. Spectral Classification and Particular Spectra Identification Based on Data Mining[J]. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING,2020:19.
APA Yang, Peng,Yang, Guowei,Zhang, Fanlong,Jiang, Bing,&Wang, Mengxin.(2020).Spectral Classification and Particular Spectra Identification Based on Data Mining.ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING,19.
MLA Yang, Peng,et al."Spectral Classification and Particular Spectra Identification Based on Data Mining".ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2020):19.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang, Peng]'s Articles
[Yang, Guowei]'s Articles
[Zhang, Fanlong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang, Peng]'s Articles
[Yang, Guowei]'s Articles
[Zhang, Fanlong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang, Peng]'s Articles
[Yang, Guowei]'s Articles
[Zhang, Fanlong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.