K Mean Clustering Output Results Plotting

I have the following code which runs fines...

      index_string        = int2str(k);
      Image_Path          = strcat('D:\MS\Research\Classification Model\Research    Implementation\EnhancedImage\ROI',index_string,'.jpeg');
      I1                  = imread(Image_Path);
      I=double(I1);
      figure
      subplot(1,3,1)
      imshow(I1)
      subplot(1,3,2)       
     [idx,C] = adaptcluster_kmeans(I);

I want to show the output of K Means like this , what should i do?

[Image Analyst]

You forgot to attach an image that we can use imread() on, so we can't run your code with your image.

Answer 1

[Stalin Samuel]

kmean clustering

[rizwan]

I tried this but it is saying index exceeds matrix dimensions

   figure;
      plot(I(idx==1,1),I(idx==1,2),'r.','MarkerSize',12)
      hold on
      plot(I(idx==2,1),I(idx==2,2),'b.','MarkerSize',12)
      plot(C(:,1),C(:,2),'kx',...
          'MarkerSize',15,'LineWidth',3)
      legend('Cluster 1','Cluster 2','Centroids',...
          'Location','NW')
      title 'Cluster Assignments and Centroids'
      hold off

Please Help!!!!!!!!!!!

[Stalin Samuel]

check the dimensions of I

[rizwan]

It is 206*314