Sorting fuzzy c means output

Hi! I am having trouble sorting out the output of my clustering. I use fuzzy c means (SFCM2D available from Matlab) and each time I compute it, the output is always different. I mean, cluster 1 in a certain image is different from cluster 1 in a different image (different slices  of the same medical exam that is). I was wondering how I could sort them so as to always display from the less bright to the brightest. Here is my code so far:

%% Select slice and segment

ncluster = 2;

expo = 2;

max_iter = 50;

%%

List = dir(fullfile(fn, '*.dcm*'));

for f=1:numel(List)

images = dicomread(fullfile(fn, List(f).name));

[MF,Cent] = SFCM2D(images,ncluster);

for i = 1:ncluster

% Reshape, convert to binary and sort the clusters by mean value

imgfi = reshape(MF(i,:,:),size(images, 1),size(images, 2));

imgfi = convert2binary(imgfi);

mean_values = mean(imgfi, 'all');

X = sprintf ("The mean value for cluster %d is %d", i, mean_values);

disp(X)

mean_vector(i) = mean_values;

[val1, idx1] = max(mean_vector);

[val2, idx2] = min(mean_vector);

end

end

I feel like I'm almost there but I'm not able to associate a value of mean to an image output for a cluster. If any of you have any idea how to fix this I would appreciate it :)