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: Showcase how XASDS improves classification accuracy in high-dimensional data.

Here we find it convenient to define Fs as component scores, and AsDs as component loadings. Note, that with this choice the PCs ( papers.ssrn.com XASDS.rar

(XASDS) is used to represent principal components with unit variances in multivariate statistics. 2. Theoretical Framework : Showcase how XASDS improves classification accuracy in

Here we find it convenient to define Fs as component scores, and AsDs as component loadings. Note, that with this choice the PCs ( papers.ssrn.com Linear discriminant analysis via component scores - SSRN and AsDs as component loadings. Note

: Mention if the "XASDS.rar" file contains specific datasets, algorithms, or code (e.g., Python or MATLAB scripts) used to perform these transformations. 4. Applications and Results