Feature extraction of alzheimer's disease classification based on principal component and random subspace discriminant analysis
Alzheimer's disease (AD) is one of the diseases which brings great influences on the lives of the people. AD classification can serve as a supportive tool to help the doctor to analyze the brain images. One of the important steps in AD classification is feature extraction. Among the feature ext...
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| Main Authors: | , |
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| Format: | Article |
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Little Lion Scientific
2021
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| Online Access: | http://eprints.utm.my/id/eprint/94059/ http://www.jatit.org/volumes/Vol99No3/6Vol99No3.pdf |
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