13. A document clustering system comprising: a non-transitory computer readable medium storing machine executable instructions comprising: a hierarchical clustering algorithm to provide a plurality of clusters representing a plurality of documents in an enterprise corpus and a cluster similarity measure for each cluster representing the quality of the cluster; a cluster analysis component accepting each cluster of the plurality of clusters having a cluster similarity measure meeting a first threshold value; and a reclustering algorithm to provide a set of subclusters from each cluster of the plurality of clusters having a cluster similarity measure that does not meet the first threshold value, each subcluster having an associated cluster similarity measure; wherein the cluster analysis component prunes each subcluster having a cluster similarity measure that does not meet a second threshold value by removing the subcluster from further processing; and a processor to execute the machine readable instructions stored on the non-transitory computer readable medium.
14. The document clustering system of claim 13 , wherein the first threshold value is equal to the second threshold value.