How can I compare all test samples with training samples by euclidean distance?

2018 7 24
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更新时间：2018 7 25
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Hello
The features of the images were extracted, 60 training images and 20 images for test.
Use the euclidean distance to compare the test samples with the training samples.
test_template2= repmat(test_template1,1,size(trdata,2));
E_distance = sqrt(sum((test_template2-euclidean_template).^2));
[result indxofmin]=min(E_distance)
Using this code I can compare one sample of the test samples with all the training samples.
How can I compare all test samples with training samples and give the closest sample number for each sample of the test?

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Image Analyst
Image Analyst 2018-7-24

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Use pdist2() from the Statistics and Machine Learning Toolbox.

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