please in details can anyone explain this code of K means Segmentation?

    clear all
    close all

    [filename,pathname] = uigetfile({'*.*';'*.bmp';'*.tif';'*.gif';'*.png'},'Pick an Image File');

    I = im2double(imread([pathname,filename]));

    [rows, columns, numberOfColorChannels] = size(I);

    F = reshape(I, rows*columns, numberOfColorChannels);

    ******* From here  please explain

    K     = 3;                                            % Cluster Numbers
     CENTS = F( ceil(rand(K,1)*size(F,1)) ,:);             % Cluster Centers

      DAL   = zeros(size(F,1),K+2);                         % Distances and Labels
      KMI   = 50;                                           % K-means Iteration

      for n = 1:KMI
         for i = 1:size(F,1)
            for j = 1:K  
              DAL(i,j) = norm(F(i,:) - CENTS(j,:));      
            end
            [Distance, CN] = min(DAL(i,1:K));               % 1:K are Distance from Cluster Centers 1:K 
            DAL(i,K+1) = CN;                                % K+1 is Cluster Label
            DAL(i,K+2) = Distance;                          % K+2 is Minimum Distance
         end
         for i = 1:K
            A = (DAL(:,K+1) == i);                          % Cluster K Points
            CENTS(i,:) = mean(F(A,:));                      % New Cluster Centers
            if sum(isnan(CENTS(:))) ~= 0                    % If CENTS(i,:) Is Nan Then Replace It With Random Point
               NC = find(isnan(CENTS(:,1)) == 1);           % Find Nan Centers
               for Ind = 1:size(NC,1)
               CENTS(NC(Ind),:) = F(randi(size(F,1)),:);
               end
            end
         end
      end

      X = zeros(size(F));
      for i = 1:K
    end  idx = find(DAL(:,K+1) == i);
      X(idx,:) = repmat(CENTS(i,:),size(idx,1),1); 

      end

[Image Analyst]

Please read this and fix your formatting.

Next, read this link and then attach your image file.\

In the meantime, is the author answering your questions?

[Touhidul islam]

sir , i have done all the necessary things you had asked me to do.

Answer 1

[Bernhard Suhm]

You need to provide some more context, what are you trying to accomplish? Right now, this feels like a coding puzzle. By my interpretation, this code clusters all the pixes of the input image into 3 clusters (running k-means KMI times), and then replaces each pixel by its cluster.