Question

我有MATLAB R2015b，我正在开发模式识别项目。我已经加载了fisher虹膜数据集。我已经为k-NN分类编写了以下代码：

rng default;
fold_number = 5;
indices = crossvalind('Kfold',species, fold_number);

val = 1:2:5; % for these small k values there will not be an important difference
         % regarding the cp ErrorRates. The difference is going to be
         % observable for val = 1:2:100, for example!!! But the
         % exercise asks only for k = 1,3,5.

err_arr = [];

for k=val

    cp = classperf(species); % Reinitialize the cp-structure!

    for i = 1:fold_number
        test = (indices == i); 
        train = ~test;
        class = knnclassify(meas(test,:),meas(train,:),species(train), k);
        %class = knnclassify(meas(test,2),meas(train,2),species(train), k); % To experiment only with the 2nd feature

        classperf(cp,class,test);
    end
    err_arr = [err_arr; cp.ErrorRate];
    fprintf('The k-NN classification error rate for k = %d is: %f\n', k,cp.ErrorRate);
end  

fprintf('\n The error array is: \n');
disp(err_arr);

fprintf('Program paused. Press enter to continue.\n');
pause

之后，我想绘制混淆矩阵。所以，我需要这行代码：

[C,order] = confusionmat(species, predicted_species);

所以，我必须找到predict_species矩阵。我曾想过写下以下代码：

predicted_species = resubPredict(class);

这是我获得标题提及错误的那一刻，我不知道为什么，而resubPredict是我的MATLAB版本支持的功能。

有人可以帮我解决这个问题吗？

Answer 1

请查看resubPredict文档的顶部，您会看到该行

Class ClassificationKNN

意味着该函数只能用于该类型的输入。在你的情况下，你传递的是双打。

您必须切换到新界面fitcknn instead of knnclassify

未定义的函数或变量'resubPredict'。为什么？

1 个答案: