| classim |
Classify image using a given classifier |
more routines |
| classc |
Convert mapping to classifier |
| labeld |
Find labels of objects by classification |
| cleval |
Classifier evaluation (learning curve) |
| clevalb |
Classifier evaluation (learning curve), bootstrap version |
| clevalf |
Classifier evaluation (feature size curve) |
| clevals |
Classifier evaluation (feature /learning curve), bootstrap |
| confmat |
Computation of confusion matrix |
| costm |
Cost mapping, classification using costs |
| crossval |
Crossvalidation |
| disperror |
Display error matrix with information on classifiers and datasets |
| labelim |
Construct image of labeled pixels |
| loso |
Leave_one_set_out crossvalidation |
| mclassc |
Computation of multi-class classifier from 2-class discriminants |
| reject |
Compute error-reject trade-off curve |
| roc |
Receiver-operator curve (ROC) |
| shiftop |
Shift operating point of classifier |
| testc |
General error estimation routine for trained classifiers |
| testd |
Error of dataset applied to given classifier |
| testauc |
Estimate error as area under the ROC |
