This report aims to give a brief overview of the current state of document clustering research and present recent developments in a well-organized manner.  Clustering algorithms are considered with two hypothetical scenarios in mind: online query clustering with tight efficiency constraints, and offline clustering with an emphasis on accuracy.  A comparative analysis of the algorithms is performed along with a table summarizing important properties, and open problems as well as directions for future research are discussed