Regularization Methods for High-Dimensional Data as a Tool for Seafood Traceability

Keyphrases

• Geographical Origin 100%
• Seafood 100%
• Regularization Method 100%
• High-dimensional Data 100%
• Seafood Traceability 100%
• Resampling Methods 66%
• Public Health 33%
• Fisheries 33%
• Estuary 33%
• Small Sample Size 33%
• Marine Bivalves 33%
• Statistical Model 33%
• Explanatory Variables 33%
• Analytical Approach 33%
• Ruditapes philippinarum 33%
• Response-adapted 33%
• High Dimension 33%
• Fraud 33%
• Least Absolute Shrinkage and Selection Operator (LASSO) 33%
• Mislabeling 33%
• Bivalve Species 33%
• Non-indigenous 33%
• Ridge Regression 33%
• Elastic Net Penalty 33%
• Dimensionality Problem 33%
• Food Safety Control 33%
• R Markdown 33%
• Categorical Response 33%
• Monte Carlo Cross-validation 33%

Food Science

• Food Safety 100%
• Mislabeling 100%

Earth and Planetary Sciences

• Food Safety 100%