DFSOS computes all sparse discriminant vectors at once with global orthogonality via Bregman iteration and augmented Lagrangian, achieving classification accuracy comparable to or better than deflation-based sparse optimal scoring on synthetic and real time series data.
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Deflation-Free Optimal Scoring
DFSOS computes all sparse discriminant vectors at once with global orthogonality via Bregman iteration and augmented Lagrangian, achieving classification accuracy comparable to or better than deflation-based sparse optimal scoring on synthetic and real time series data.