Clustering, or finding groups in data, is as old as machine learning itself, if not older. However, as more people use clustering in a variety of settings, the last few years we have brought unprecedented developments in this field. This tutorial will survey the most important clustering methods in use today from a unifying perspective. I will then present some of the current paradigms shifts in data clustering.