The narrative of galaxy morphological classification told through machine learning

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The narrative of galaxy morphological classification told through machine learning

In this thesis, we present a complete study of machine learning applications, in- cluding both supervised and unsupervised, for galaxy morphological classification using calibrated imaging data. Two main topics are approached: (1) classification - we discuss optimal machine learning technique in ter...

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Bibliographic Details
Main Author:	Cheng, Ting-Yun
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2020
Subjects:	Machine learning Galaxy morphology Gravitational lensing
Online Access:	https://eprints.nottingham.ac.uk/63653/

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