To run the demo, do the folowing inside MATLAB. We have mainly used
Matlab 6.0.

>> load data_test_ex1
>> caMIX (x_list,nx,40,1,0.1,1000)

This will run the Super clustering and matching (SCM) algorithm on the 
preloaded nine datasets contained in (data_test_ex1) using 40 cluster
centers and setting  the initial temperature to 0.1 and the final
temperature to 0.1/1000=0.0001. 

If you want to try some other data, here is briefly how
the process goes:

e.g.

say, you have 9 point-sets X1,X2...X9 with respectively
n1,n2,...n9 points in them:
[1] put them in one big point-set "x_list", which is just [X1;X2;...;X9].
[2] create a "nx" variable, which is [n1;n2;...n9];
[3] specify how many clusters you want "nz", e.g. 40.
[4] specify the init T and the final T.

ok, with all these info, the cmd line is:

caMIX (x_list, nx, nz, 1, Tinit, Tfinal); 

the "1" here means use every point.

