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Comparison of Three Statistical Classification Techniques for Maser Identification
Manning, Ellen M.1; Holland, Barbara R.1; Ellingsen, Simon P.1; Breen, Shari L.2; Chen, Xi3,4; Humphries, Melissa1
2016-04-14
Source PublicationPUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA
Volume33
AbstractWe 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.
KeywordMasers Methods: Classification Stars: Formation
WOS HeadingsScience & Technology ; Physical Sciences
DOI10.1017/pasa.2016.13
WOS KeywordLARGE-MAGELLANIC-CLOUD ; YOUNG STELLAR OBJECTS ; SPECTRAL ENERGY-DISTRIBUTIONS ; METHANOL MASERS ; RANDOM FORESTS ; STAR-FORMATION ; CLASS-I ; 95 GHZ ; WATER MASERS ; GLIMPSE
Indexed BySCI
Language英语
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000374792300001
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/16203
Collection南极天文中心
Affiliation1.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
Recommended Citation
GB/T 7714
Manning, Ellen M.,Holland, Barbara R.,Ellingsen, Simon P.,et al. Comparison of Three Statistical Classification Techniques for Maser Identification[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA,2016,33.
APA Manning, Ellen M.,Holland, Barbara R.,Ellingsen, Simon P.,Breen, Shari L.,Chen, Xi,&Humphries, Melissa.(2016).Comparison of Three Statistical Classification Techniques for Maser Identification.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA,33.
MLA Manning, Ellen M.,et al."Comparison of Three Statistical Classification Techniques for Maser Identification".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA 33(2016).
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