使用SVM训练我的数据集 [英] Using SVM to train my Dataset

问题描述

为了更好地理解支持向量机如何在MATLAB中工作的概念，我建议你简要阅读这非常重要的链接。

To understand well the concept behind how Support Vector Machine works in MATLAB, I advised you to read briefly THIS VERY IMPORTANT LINK.

我试图应用相同的概念，但我有不同的火车组测试集。

I am trying to apply the same concept but I have different train set and test set.

更精确：

我的列车集指的是被命名为 C2res {1} ，其中最后一个等于：

My train set refers to be named as C2res{1} where this last is equal to:

 C2res{1} =

           1.0e-05 *

          Columns 1 through 10

            0.5341    0.5822    0.6185    0.7555    0.7369    0.7131    0.5985    0.6483    0.5668    0.6620

          Columns 11 through 12

            0.6523    0.6097  

我的测试集指的是 C2res {2} ，其中最后一个具有相同形式的C2res {1}但是具有dif不确定的价值...

My test set refers to be named as C2res{2} where this last has the same form of C2res{1} but with different values...

然后，我使用了上述链接中使用的概念：

Then, I used the concept used in the above link:

XTrain = [C2res{1}];
XTest = [C2res{2}];
label = [ones(size(C2res{1},2),1)];
SVMStruct = svmtrain(XTrain , label, 'kernel_function', 'linear');
Group       = svmclassify(SVMStruct, XTest);

但不幸的是我总是收到如下错误：

But unfortunately I always get errors like as:

Error using svmtrain (line 335)
Y must contain exactly two groups for method 'SMO'.

这就是我需要你帮助的原因。

That is why I need your help please.

任何帮助都将非常感谢！

Any help will be very appreciated!

推荐答案

您是否尝试使用两个类来实施分类培训？你的标签= [ones（size（C2res {1}，2），1）]; 只包含一个值，似乎预计有两个值（两个类别） ）。我认为这就是出错的原因。

Are you trying to implement the classification training with two classes? Your label = [ones(size(C2res{1},2),1)]; contains only one value, and it seems to be expected two values (as two categories). I think that's the reason the error comes out.

如果您要应用单类SVM，请尝试添加此类选项（请参阅此页有关该选项的更多参考资料）：

If you are applying one-class SVM, try to add such option (see this page for more references on the option):

SVMStruct = svmtrain(XTrain , label,'-t 0 -s 2');

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