How can I get constant clusters using this code?

I am using this code but getting different result for the desired cluster. Using the following code, the desired cluster for image hand.jpg is cluster 1 but for foot.jpg is cluster 4. I want the desired cluster number for every image not to be changed or any other ways that I can automatically pick the desired cluster for further analysis if the desired cluster number is changing.

I = imread(['ColorSpace\ForExperiment\foot.jpg']);

lab_he = rgb2lab(I);

% Extract first channel (L)
ab = lab_he(:, :, 2:3);

% Convert to data type single
ab = im2single(ab);

% Perform clustering using K-Means
nColors = 4;
pixel_labels = imsegkmeans(ab, nColors, "NumAttempts", 5);
imshow(pixel_labels, []);

% Display each cluster with their objects
mask1 = pixel_labels == 1;
cluster1 = I .* uint8(mask1);
imshow(cluster1); title('Objects in cluster1');

% Display second cluster's objects
mask2 = pixel_labels == 2;
cluster2 = I .* uint8(mask2);
imshow(cluster2); title('Objects in cluster2');

% Display third cluster's objects
mask3 = pixel_labels == 3;
cluster3 = I .* uint8(mask3);
imshow(cluster3); title('Objects in cluster3');

% Display fourth cluster's objects
mask4 = pixel_labels == 4;
cluster4 = I .* uint8(mask4);
imshow(cluster4); title('Objects in cluster4');

Any help is greatly appreciated.

[ams]

error in NumAttempts", 5

Answer 1

[Image Analyst]

See my code for re-numbering clusters. Adapt as needed.