image = imageT;
k = 3;

graph = Image2Graph(image);
%clusters = mySpectralClustering(graph, k);
clusters = myNCuts(graph, k);

clusters = reshape(clusters, size(image, 1), []);

redChannel = image(:, :, 1);
greenChannel = image(:, :, 2);
blueChannel = image(:, :, 3);

segImR = clusters;
segImG = clusters;
segImB = clusters;

for cluster = 1:k
    meanR = mean(redChannel(clusters == cluster));
    meanG = mean(greenChannel(clusters == cluster));
    meanB = mean(blueChannel(clusters == cluster));
    
    segImR(clusters == cluster) = meanR;
    segImG(clusters == cluster) = meanG;
    segImB(clusters == cluster) = meanB;
end

segIm = zeros(size(image, 1), size(image, 2), 3);
segIm(:, :, 1) = segImR;
segIm(:, :, 2) = segImG;
segIm(:, :, 3) = segImB;
imshow(segIm)

clearvars segImR segImG segImB meanR meanG meanB graph redChannel ...
    greenChannel blueChannel clusters k image cluster segIm