LS_VCcore.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
LVQ1_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
LVQ3_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
ML_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
ML_diag_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
MethodNotImplemented.m:[Nclasses,classes] = find_classes(trainFeatures);
Nearest_Neighbor_VC.m:[Nclasses, classes]  = find_classes(train_labels); % Number of classes in labels
PNN_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
Parzen_VC.m:[Nclasses, classes]   = find_classes([trainLabels(:); testLabels(:)]); % Number of classes in labels
Perceptron_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
Perceptron_VCcore.m:[Nclasses, classes] = find_classes(trainLabels);
Pocket_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
Pocket_VCcore.m:[Nclasses, classes] = find_classes(trainLabels);
RCE_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
SVM_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
SVM_VCcore.m:[Nclasses, classes] = find_classes(trainLabels);
Voted_Perceptron_VCcore.m:[Nclasses, classes] = find_classes(trainLabels);
classifierWrapper.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
contents.m:%		find_classes		- Find which classes exist in a data set
find_classes.m:function [N, classes] = find_classes(targets)
new_start_classify.m:[Nclasses, classes] = find_classes(targets);
plot_scatter.m:  [Nclasses, classes] = find_classes(plot_targets);
start_classify.m:Nclasses  = find_classes(targets); %Number of classes in targets
start_multi_classification.m:Nclasses		= find_classes(targets); %Number of classes in targets
weightedKNNRule_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labels
