For Loop for finding distance between 9 centroids

I would like to find the distance between 9 data points in a neat way.

I tried to do it in a for loop but that didn't work out.

Any help is appreciated.

An example of what I'm trying to do is given below:

A = [5,2];
B = [3,2];
C = [4,5];
D = [6,9];
E = [7,7];
F = [3,2];
G = [9,8];
H = [1.5,1.7];
I = [2.5,3.2];

X = [A;B];
Y = [A;C];
Z = [B;C];
.
.
.

pdist(X);
pdist(Y);
pdist(Z);
.
.
.

It should tell me the distance between any of these data points.

I'm trying to find the smallest distance between any of these variables.

(To be excluded: A vs A, B vs B etc.) (To be included: A vs all, B vs all etc.)

Answer 1

[Image Analyst]

Try pdist2:

distances = pdist2(xy, xy);

where xy is an N by 2 list of x,y coordinates.