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题名: Comparison of Three Statistical Classification Techniques for Maser Identification
作者: Manning, Ellen M.1; Holland, Barbara R.1; Ellingsen, Simon P.1; Breen, Shari L.2; Chen, Xi3, 4; Humphries, Melissa1
刊名: PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA
出版日期: 2016-04-14
卷号: 33
关键词: masers ; methods: classification ; stars: formation
DOI: 10.1017/pasa.2016.13
文章类型: Article
英文摘要: We applied three statistical classification techniques-linear discriminant analysis (LDA), logistic regression, and random forests-to three astronomical datasets associated with searches for interstellar masers. We compared the performance of these methods in identifying whether specific mid-infrared or millimetre continuum sources are likely to have associated interstellar masers. We also discuss the interpretability of the results of each classification technique. Non-parametric methods have the potential to make accurate predictions when there are complex relationships between critical parameters. We found that for the small datasets the parametric methods logistic regression and LDA performed best, for the largest dataset the non-parametric method of random forests performed with comparable accuracy to parametric techniques, rather than any significant improvement. This suggests that at least for the specific examples investigated here accuracy of the predictions obtained is not being limited by the use of parametric models. We also found that for LDA, transformation of the data to match a normal distribution led to a significant improvement in accuracy. The different classification techniques had significant overlap in their predictions; further astronomical observations will enable the accuracy of these predictions to be tested.
WOS标题词: Science & Technology ; Physical Sciences
类目[WOS]: Astronomy & Astrophysics
研究领域[WOS]: Astronomy & Astrophysics
关键词[WOS]: LARGE-MAGELLANIC-CLOUD ; YOUNG STELLAR OBJECTS ; SPECTRAL ENERGY-DISTRIBUTIONS ; METHANOL MASERS ; RANDOM FORESTS ; STAR-FORMATION ; CLASS-I ; 95 GHZ ; WATER MASERS ; GLIMPSE
收录类别: SCI
项目资助者: University of Tasmania Dean's Summer Research Scholarship ; Australian Research Council DECRA Fellowship(DE130101270)
语种: 英语
WOS记录号: WOS:000374792300001
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内容类型: 期刊论文
URI标识: http://libir.pmo.ac.cn/handle/332002/16193
Appears in Collections:南极天文中心_期刊论文

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作者单位: 1.Univ Tasmania, Sch Phys Sci, Private Bag 37, Hobart, Tas 7001, Australia
2.CSIRO Asron & Space Sci, POB 76, Epping, NSW 1710, Australia
3.Chinese Acad Sci, Shanghai Astron Observ, Key Lab Res Galaxies & Cosmol, Shanghai 200030, Peoples R China
4.Chinese Acad Sci, Key Lab Radio Astron, Beijing 100012, Peoples R China
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