How to plot my 4 classes samples to visualize each classes's representing dot?

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Alex Brown
Alex Brown 2017-6-30
评论： Rena Berman 2017-7-18
I created a features vector of more than 100 elements,then used my multiclass SVM code to classify my 106samples(91 trained,105 tested) and ended up with a classification for each of those 15 samples.Now i want to plot them in a similar way to the attached image.
%%SVM Multiclass Example
% SVM is inherently one vs one classification.
% This is an example of how to implement multiclassification using the
% one vs all approach.
TrainingSet=\[ 1 10;2 20;3 30;4 40;5 50;6 66;3 30;4.1 42;56 4;34 1\];
TestSet=\[3 34; 1 14; 2.2 25; 6.2 63\];
GroupTrain=\[1 1 2 2 2 2 3 3 4 4\];
results = multisvm(TrainingSet, GroupTrain, TestSet);
disp('multi class problem');
disp(results);
multisvm code:
numClasses=length(u);
result = zeros(length(TestSet(:,1)),1);
%build models
for k=1:numClasses
%Vectorized statement that binarizes Group
%where 1 is the current class and 0 is all other classes
G1vAll=(GroupTrain==u(k));
models(k) = svmtrain(TrainingSet,G1vAll);
end
%classify test cases
for j=1:size(TestSet,1)
for k=1:numClasses
if(svmclassify(models(k),TestSet(j,:)))
break;
end
end
result(j) = k;
end

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回答（1 个）

Image Analyst
Image Analyst 2017-6-30
If you know what class each point was assigned to, then you can use gscatter() to plot each point/spot in a different color.
  1 个评论
Image Analyst
Image Analyst 2017-6-30
It would be best to try with your data, but I don't have the multisvm function. Can you upload it along with your data. The number of points in your code doesn't match your picture.

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