1. A method of classifying images in an image collection comprising n images, the method comprising: classifying transformed images in image sets according to perceived resemblance, wherein the transformed images are based on a same reference image, and wherein each of the transformed images has a distinct fingerprint distance with regard to the reference image; determining at least one fingerprint distance threshold that delimits the determined image sets within fingerprint distance zones; classifying the images in the image collection, comprising, for each image i in the image collection; determining of a fingerprint distance between said image i and each of other n−1 images in the image collection; and classifying said each of other n−1 images in one of said fingerprint distance zones according to the determined fingerprint distance.