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http://hdl.handle.net/11375/20738
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DC Field | Value | Language |
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dc.contributor.advisor | McNicholas, Paul D. | - |
dc.contributor.author | Gallaugher, Michael P.B. | - |
dc.date.accessioned | 2016-10-26T18:13:42Z | - |
dc.date.available | 2016-10-26T18:13:42Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://hdl.handle.net/11375/20738 | - |
dc.description.abstract | Recent work on fractionally-supervised classification (FSC), an approach that allows classification to be carried out with a fractional amount of weight given to the unla- belled points, is extended in two important ways. First, and of fundamental impor- tance, the question over how to choose the amount of weight given to the unlabelled points is addressed. Then, the FSC approach is extended to mixtures of multivariate t-distributions. The first extension is essential because it makes FSC more readily applicable to real problems. The second, although less fundamental, demonstrates the efficacy of FSC beyond Gaussian mixture models. | en_US |
dc.language.iso | en | en_US |
dc.subject | Fractionally Supervised Classification, Clustering, Discriminant Analysis, Mixture Models | en_US |
dc.title | On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Mathematics and Statistics | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Science (MSc) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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gallaugher_michael_pb_201610_msc.pdf | 532.84 kB | Adobe PDF | View/Open |
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