Systems and associated methods provide a cluster-level semi-supervision model for inter-active clustering. Embodiments accept user provided semi-supervision for updating cluster descriptions and assignment of data items to clusters. Assignment feedback re-assigns data items among existing clusters, while cluster description feedback helps to position existing cluster centers more meaningfully. The feedback can continue until the user is satisfied with the clustering achieved or one or more predetermined stopping criteria have been reached.