1. A computer-implemented method comprising: identifying a plurality of documents, from a set of documents, wherein each of the plurality of documents include a top N terms, wherein the top N terms are the same for each of the plurality of documents, wherein the top N terms are based on respective term frequency scores, and wherein N is an integer; identifying at least a subset of the identified documents that satisfy a pattern string; and forming a document cluster from at least the subset of the identified documents.
1. A computer-implemented method comprising: identifying a plurality of documents, from a set of documents, wherein each of the plurality of documents include a top N terms, wherein the top N terms are the same for each of the plurality of documents, wherein the top N terms are based on respective term frequency scores, and wherein N is an integer; identifying at least a subset of the identified documents that satisfy a pattern string; and forming a document cluster from at least the subset of the identified documents. 5. The method of claim 1 , wherein the method is iterated up to M times, wherein M is an integer; and wherein N is incremented for each iteration.