Speeding up MCR-ALS by selecting the most influential pixels based on Combined Analyte Signal and randomized SVD

Keyphrases

• Pixel-based 100%
• Multivariate Curve Resolution 100%
• Alternating Least Squares 100%
• Randomized Singular Value Decomposition 100%
• Singular Value Decomposition 50%
• Hyperspectral 50%
• Convex Hull 50%
• Subset Selection 50%
• Order of Magnitude 25%
• Result-oriented 25%
• Decomposition Method 25%
• Theoretical Aspects 25%
• Model Complexity 25%
• Data Reduction 25%
• Number of Dimensions 25%
• Iterative Algorithm 25%
• Computational Speed 25%
• Constraint Set 25%
• Chemometrics 25%
• Spectral Data 25%
• Curse of Dimensionality 25%
• Number of pixels 25%
• Fast Computation 25%
• Chemical Compounds 25%
• Convergence Criteria 25%
• Chemical Image 25%
• Analytical Chemistry 25%
• Least Squares Model 25%
• Recent Approaches 25%
• Spectral pixels 25%
• Analytical Signal 25%
• Non-negative Least Square Method 25%
• Pure Components 25%
• Score Spaces 25%
• Convex Hull Algorithm 25%
• Multiblock Datasets 25%
• Microchemical 25%
• DD-SIMCA 25%
• AMIGOS 25%
• ALS Model 25%

Mathematics

• Least Square 100%
• Singular Value Decomposition 100%
• Convex Hull 60%
• Feature Subset Selection 40%
• Decomposition Method 20%
• Curse of Dimensionality 20%
• Simulated Data 20%
• Data Reduction 20%
• Square Method 20%
• Convergence Criterion 20%

Chemistry

• Analytical Chemistry 25%