multidimensional scaling example in matlab

cmd_example.m

X = [ normrnd(0,1,10,3) normrnd(0,.1,10,1) ]; % generate data
D = pdist(X, 'euclidean'); % compute euclidiant distance

% do multidimensional scaling
% find a configuration with those inter-point distances

% If the first k elements of E are much larger than the remaining (n-k), then you 
% can use the first k columns of Y as k-dimensional points, whose interpoint 
% distances approximate D.  This can provide a useful dimension reduction for 
% visualization, e.g., for k==2.

[Y, e] = cmdscale(D);

scatter(Y(:,1), Y(:,2))
xlabel('dimension 1')
ylabel('dimension 2')