1. A method, comprising: identifying clusters of images in a collection of images with a deliberate bias toward finding evident clusters instead of trying to force every image in the collection into a cluster, each cluster including images of a face of a person characterizing the cluster, the evident clusters having a uniform background distribution for noisy data; accepting a user interaction to label each cluster; iteratively formulating proposed clusters from remaining images in the collection to solicit subsequent user interactions for labeling images in each proposed cluster, each iteration of the formulating proposing a cluster such that the subsequent user interactions maximize an information efficiency for subsequently labeling the remaining images in the collection while using a minimum number of user interactions.