How to plot minimum distance.

So I have data set 210x12. I divided by 80% for train and 20%test. I calculated minimum distance with Euclidean equation.

for i=1:length(dataTrain)
    %compute euclidean distances
    distances = sqrt(sum(bsxfun(@minus, dataTest, dataTrain(i,:)).^2,2));
    
    %minimum distances
    minD(i,:)= dataTest(distances==min(distances),:);
end

how do i plot the minimum distance and how do i want to it is the correct equation and plotting.

[Rik]

I don't know if I fully understand what you're going for, but it looks like you should be using the index output of min instead:

%replace this:
minD(i,:)= dataTest(distances==min(distances),:);

%with this:
[~,idx]=min(distances);
minD(i,:)= dataTest(idx,:);

And shouldn't you square your values before subtracting them to find the hypotenuse?

[Image Analyst]

What do the rows and columns represent? Are you trying to find out which row of your test is closest to each row of your training?

Maybe you should use pdist2().

[Hanafi Akmal]

Image Analyst

So basically, out of 210 rows will divided into 5 rows, which will divided to 80% train and 20% test. Which make 4 rows for train and 1 row for test. So the total of data train will 168 and 42 for data test. And i trying to figure out the minimum distance between train and test data.

this is example of my data of 210x12.