apply statistical and SVM classifier to test data
R = nan_test_sc(CC,D) R = nan_test_sc(CC,D,target_Classlabel) R = nan_test_sc(CC,D, target_Classlabel,TYPE)
classifier, which is typically obtained by train_sc.
target class label
If a statistical classifier is used, TYPE can be used to modify the classifier.
mahalanobis distance based classifier
mahalanobis distance based classifier
mahalanobis distance based classifier
Gaussian radial basis function
quadratic discriminant analysis
linear discriminant analysis
(Fisher's) linear discriminant analysis
linear discriminant analysis
general distance based classifier
struct with the following fields
output: "signed" distance for each class.
class for output data
The target class is optional. If it is provided, the following values are returned.
Cohen's kappa coefficient
Classification accuracy
Confusion matrix
[1] R. Duda, P. Hart, and D. Stork, Pattern Classification, second ed.
John Wiley & Sons, 2001.