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L1-Norm Principal Component Analysis (L1-Norm PCA)
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L1-Norm Principal Component Analysis (L1-Norm PCA)
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Multiple Factor Analysis (MFA)
A variant of PCA using L1-norm minimization rather than least squares, producing components more robust to outliers in sensory attribute data.
September 5, 2025
One citation, one vote! A new approach for analysing check-all-that-apply (CATA) data using L1-norm methods
September 3, 2025
Comparison of check-all-that-apply product evaluations in different conditions using an L1-norm framework
August 18, 2025
One citation, one vote! A new approach for analyzing check-all-that-apply (CATA) data using L1 norm methods
February 25, 2025
One citation, one vote! A new approach for analysing check-all-that-apply (CATA) data in sensometrics, using L1 norm methods