i have to form eucledian distance based clusters inside first box in which green color nodes are present.............iff, the calculated distance would be less than the pre-defined distance(D) present code

plz help me i can't able to find clusters in first box on the basis of eucledian distance b/w the nodes present only in first box................help me with syntax as soon as possible.here distance would be calculated b/w each and every node only present in the first box.

[KSSV]

I have checked your question a week ago....You have re written the code....there are three cells/ boxes and they have no points in that.

[kiranpreet kaur]

sir i does not have any mean with other 3 boxes. I only want to find clusters in 1st box on the basis of eucledian distance b/w the nodes present in that box only............plz help me sir i understands what ever u said earlier to me...........help me plz.......Although i gives predefined distance(D). if calculated eucledian distance b/w nodes present in 1st box is less than D it must included in cluster............plz help me as soon as possible

Answer 1

[KSSV]

If you have the coordinates in a cell/ box stored in the matrix coor, you can calculate the Euclidean distance as below:

 dist = cell(npoints,1) ; 
 for i = 1:npoints    % loop for each points, npoints is total number of points
     data = repmat(coor(i,:),[length(coor),1])-coor ;
     dist{i} = sqrt(data(:,1).^2+data(:,2).^2);
 end