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Generalized L
1
penalized matrix factorization
Morten Arendt Rasmussen
*
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Corresponding author for this work
Food Analytics and Biotechnology
4
Citations (Scopus)
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1
penalized matrix factorization'. Together they form a unique fingerprint.
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Keyphrases
Sparsity
100%
Matrix Factorization
100%
Chemometric Models
100%
Overfitting
50%
L1-norm
50%
Parsimony
50%
Structural Properties
50%
Least Squares Criterion
50%
Principal Coordinate Analysis (PCoA)
50%
Multivariate Analysis of Variance
50%
Chemical Data
50%
Canonical Correlation Analysis
50%
Parameter Estimation
50%
Synthetic Data
50%
Performance Prediction
50%
Partial Least Squares Structural Equation Modeling (PLS-SEM)
50%
Robust Performance
50%
Pairwise Differences
50%
Mathematics
Square Criterion
100%
Partial Least Squares
100%
Parameter Estimate
100%
Factorization
100%
Principal Component Analysis
100%
Predictive Performance
100%
Least Square
100%
Structural Property
100%
Matrix (Mathematics)
100%
Food Science
Multivariate Analysis of Variance
100%
Chemistry
Chemometrics
100%