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

Question

wisam kh 2018-7-24

评论： wisam kh 2018-7-25

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?

Answer 1

Image Analyst 2018-7-24

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

wisam kh 2018-7-25

thank you sir

But if you have an example, I will be grateful to you.

Thank you again