Support:Documents:Examples:K-Means and Fuzzy C-Means analysis
K-Means and Fuzzy C-Means
In COMKAT R4.0a, you can analyze images by K-Means or Fuzzy C-Means clustering.
1.Select Image > Clustering
2.You can select K-Means or Fuzzy C-Means here:
3.If you select Fuzzy C-means, you can output Labels or Probability Maps /membership functions :
4.Assign number of clusters
5.If your images are several MR contrast (muti-bands), you can also analyze band-2 and band-3 by unchecking the checkbox as follows:
Here we use Fuzzy C-means for an example.
1.Load phantom imge:
a= phantom(256); b= phantom(256); c= cat(3,a,b); % COMKAT do not read 2-D image comkatimagetool(c)
2.Select Colormap > GreenFire
3.Select Image > Clustering
4.Set as follows: