Trent University Graduate Thesis Collection

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    Support Vector Machines for Automated Galaxy Classification

    Year: 2019, 2019
    Member of: Trent University Graduate Thesis Collection
    Name(s): Creator (cre): Chambers, Cameron Darrin, Thesis advisor (ths): McConnell, Sabine, Thesis advisor (ths): Hurley, Richard, Degree granting institution (dgg): Trent University
    Abstract: <p>Support Vector Machines (SVMs) are a deterministic, supervised machine learning algorithm that have been successfully applied to many areas of research. They are heavily grounded in mathematical theory and are effective at processing high-dimensional data. This thesis models a variety of galaxy classification tasks using SVMs and data from the Galaxy Zoo 2 project. SVM parameters were… more