Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8840348 | Journal of Neuroscience Methods | 2018 | 32 Pages |
Abstract
The results suggest that NCA be a better feature selection strategy than PCA and SFS for the data used in this study. Ensemble tree classifier with boosting is more powerful than SVM to predict the subject group. However, more advanced feature selection and classification methods or additional measures besides structural MRI may be needed to improve the prediction performance.
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Authors
Mingwu Jin, Weishu Deng,