Feature Selection for fMRI Classification
نویسنده
چکیده
The functional Magnetic Resonance Imaging (fMRI) has provided us with an approach of revealing the activity of brain. Due to the large amount of data in fMRI studies, feature selection techniques are used to select particular features for classifier. In this project, Spectral Clustering is implemented to construct features to achieve best reconstruction of the data and be most efficient for making predictions.
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