Hi all,
I am trying to do nearest neighbour between a set of images and a nearest neighbour model. However in my euclidean distance function I am getting errors suh as "matrix dimensions must agree".
As you can see i've attemped different ways but what im trying to do for these two functions is:
• Calculate the Euclidean distance between the test sample and all the training samples d(𝑠𝑎𝑚𝑝𝑙𝑒1,𝑠𝑎𝑚𝑝𝑙𝑒2)=|𝑠𝑎𝑚𝑝𝑙𝑒1−𝑠𝑎𝑚𝑝𝑙𝑒2|=√(𝑠𝑎𝑚𝑝𝑙𝑒1(1)−𝑠𝑎𝑚𝑝𝑙𝑒2(1))2+ (𝑠𝑎𝑚𝑝𝑙𝑒1(2)−𝑠𝑎𝑚𝑝𝑙𝑒2(2))2+⋯+(𝑠𝑎𝑚𝑝𝑙𝑒1(𝑛)−𝑠𝑎𝑚𝑝𝑙𝑒2(𝑛))2
• Select the closest training example
• Assign the closest training example’s label to the test image
function dEuc = EuclideanDistance(sample1,sample2)
V = sample1 - sample2;
dEuc = sqrt(V .* V');
end
function prediction = NNTesting(testImage,modelNN)
dataset = modelNN.neighbours;
prediction = EuclideanDistance(testImage, dataset);
end
