How to calculate euclidean distance to a loaded dataset.?

Sir, I have the data of 401*22double and we have to find the euclidean distance for that dataset.my dataset consists of 401 images with 22 features using pdist2 function.

[KSSV]

You know the function...then read and go ahead..what problem you facing?

[NAVEEN KUMAR]

i'm trying but i'm not getting the required result

[NAVEEN KUMAR]

clc;
close all;
close all;
num = xlsread('C:\Users\Nani\Desktop\ROAD_SIGN\pgk\project1');
sam = xlsread('C:\Users\Nani\Desktop\ROAD_SIGN\pgk\sam');
[m,n] = size(num);
data = num;

for x = 1:401
  for y = 1:401
D = pdist2(sam',data');
  end
end

if the sample data is matched with my project data then it should result zero values for that matching row in project data.

[Jan]

There is no need for the 2 loops, because the body of the loop does not depend on x and y.

D = pdist2(sam',data');

This looks like it could do what you want. So what is the problem?

[NAVEEN KUMAR]

I do have a training data and a query image data, i need to check whether the query data is available in training or not, if available the query image data in training data should replace with zero so that it can match my query data....it is my problem?