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这是我的 k-最近邻算法代码:

function [preds, distances, indices] = knnfull(HandTrain,HandTest)
    nn_value = 10; % how many nearest      
    inputs = HandTrain(:,2:end);
    Y = HandTrain(:,1); 
    [preds, distances, indices] = knn_alg(inputs, y, HandTest, nn_value);
end

function [preds, D, I] = knn_alg(train_inputs, train_y, test_inputs, nn_value)
    num_train_inputs = size(train_inputs,2);
    num_train_examples = size(train_inputs,1)
    num_test_inputs = size(test_inputs,2);
    num_test_examples = size(test_inputs,1)
    preds = zeros(size(test_inputs,1),1);
    [D,I] = pdist2(train_inputs,test_inputs,'euclidean','Smallest',nn_value);
    preds = mode(train_y(I'),2);
end

如果你问为什么我有两个独立的函数,这是一个很好的问题。但无论如何,我得到了错误:

Error in knnkaggle>knn_alg (line 16)
num_train_inputs = size(train_inputs,2);

Output argument "indices" (and maybe others) not assigned during call to
"C:...knn_alg".

Error in knnkaggle (line 10)
[preds, distances, indices] = knn_alg(inputs, y, HandTest, nn_value);

想不通问题。

4

1 回答 1

3

这意味着您的函数中存在可能的路径,它们根本没有为输出参数分配任何值。

于 2013-01-09T02:51:08.060 回答