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This study clarifies that 2-D principal component analysis (PCA) and Fisher linear discriminant (FLD) are not strictly equivalent to block-based PCA and FLD. The correspondence highlights the lack of rigor in prior claims of equivalence for image-matrix feature extraction.
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