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Comparison of three statistical classification techniques for maser identification

Citation

Manning, EM and Holland, BR and Ellingsen, SP and Breen, SL and Chen, X and Humphries, M, Comparison of three statistical classification techniques for maser identification, Publications of the Astronomical Society of Australia, 33 Article e015. ISSN 1448-6083 (2016) [Refereed Article]

Copyright Statement

Copyright Astronomical Society of Australia 2016

DOI: doi:10.1017/pasa.2016.13

Abstract

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.

Item Details

Item Type:Refereed Article
Keywords:masers, statistical classification, star formation
Research Division:Physical Sciences
Research Group:Astronomical and Space Sciences
Research Field:Astronomical and Space Sciences not elsewhere classified
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Physical Sciences
Author:Manning, EM (Miss Ellen Manning)
Author:Holland, BR (Associate Professor Barbara Holland)
Author:Ellingsen, SP (Professor Simon Ellingsen)
Author:Humphries, M (Mrs Melissa Humphries)
ID Code:108255
Year Published:2016
Web of Science® Times Cited:1
Deposited By:Mathematics and Physics
Deposited On:2016-04-15
Last Modified:2017-11-01
Downloads:0

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