High dimensional low sample size data analysis: a probabilistic graphical model based approach for feature extraction and classification
High dimensional small sample sized (HDLSS) datasets are datasets which contain many features but a limited number of samples. High dimensional low sample size datasets are commonly found in microarray data and medical imaging (Hall et al.). Most algorithms were not created with high dimensional lo...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2020
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| Online Access: | https://eprints.nottingham.ac.uk/61018/ |