Functional logistic discrimination with sparse PCA and its application to the structural MRI
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DOI: 10.1007/s41237-019-00079-3
Abstract: We propose a functional classification method with high-dimensional image predictors using a combination of logistic discrimination and basis expansions with sparse principal component analysis (PCA). Our model is an extension of the existing functional generalized… read more here.
Keywords: pca application; functional logistic; logistic discrimination; discrimination sparse ... See more keywords