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📁 最新的模式识别分类工具箱,希望对朋友们有用!

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LS_VCcore.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsLVQ1_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsLVQ3_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsML_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsML_diag_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsMethodNotImplemented.m:[Nclasses,classes] = find_classes(trainFeatures);Nearest_Neighbor_VC.m:[Nclasses, classes]  = find_classes(train_labels); % Number of classes in labelsPNN_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsParzen_VC.m:[Nclasses, classes]   = find_classes([trainLabels(:); testLabels(:)]); % Number of classes in labelsPerceptron_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsPerceptron_VCcore.m:[Nclasses, classes] = find_classes(trainLabels);Pocket_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsPocket_VCcore.m:[Nclasses, classes] = find_classes(trainLabels);RCE_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsSVM_VC.m:[Nclasses, classes]  = find_classes(trainLabels); % Number of classes in labelsSVM_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 labelscontents.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 targetsstart_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

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