Keyphrases
Least Squares
100%
Discriminant Analysis
100%
Local Classification
100%
Partial Least Squares Discriminant Analysis (PLS-DA)
75%
K-nearest Neighbor (K-NN)
25%
Training Samples
25%
Local Model
25%
Correct Classification Rate
25%
Algorithm Analysis
25%
Rice
25%
Nonlinearity
25%
Calibration Sample
25%
Degree of Nonlinearity
25%
Distance-based
25%
Validation Sample
25%
Unknown Samples
25%
Weighting Scheme
25%
Simulated Dataset
25%
External Validation
25%
Rice Varieties
25%
Partial Least Squares Structural Equation Modeling (PLS-SEM)
25%
Counter-propagation Artificial Neural Networks
25%
Nonlinear Methods
25%
Classification Methods
25%
Classification Accuracy
25%
Kernel Partial Least Squares
25%
Mathematics
Least Square
100%
Discriminant Analysis
100%
Partial Least Squares
66%
Nonlinearity
33%
Nonlinear
33%
Simulated Data Set
16%
Real Data
16%
Analysis Model
16%
Test Set
16%
Nearest Neighbor
16%
Classification Method
16%
Neural Network
16%
Training Sample
16%
Computer Science
Discriminant Analysis
100%
Least Squares Method
100%
Real Data Sets
14%
Classification Method
14%
Training Sample
14%
Analysis Model
14%
Neural Network
14%
Varying Degree
14%
Classification Accuracy
14%
Simulated Data
14%