Hi, I am using the clustering codes at
and obtaining clustered image by kmeans using;
clusteredImg = KMeans_rcpp(im3d, clusters = 3, num_init = 3, max_iters = 100, initializer = 'kmeans++', verbose = F) getcenters = clusteredImg$centroids getclusters = clusteredImg$clusters new_im_init = getcenters[getclusters, ]
I would like to get show each cluster as saparate images, which have the same size with the input image.
For instance, my image is clustered into 3 clusters with the above code.
I want to show these clusters as 3 different images (each of these images should have the same size with the input image, which is 2 dimensional)
Could you please help me, how to do this