11. The method of claim 10 , wherein the frequency score for each term in one of the document vectors comprises a TF-IDF score for that term in the document for that document vector.
10. A computer implemented method of clustering documents, the method comprising: generating document vectors for each of a plurality of documents of a corpus, wherein each document vector comprises a plurality of terms from the corresponding document and a frequency score for each term; generating a plurality of reference vectors based on the document vectors, wherein each reference vector comprises a plurality of terms from the document vectors and a frequency score for each term, wherein the frequency score for each term in each reference vector comprises a random or pseudo-random value; comparing the document vectors to each of the reference vectors to generate similarity values for each of the document vectors; sorting the document vectors based on the similarity values for the document vectors to form a sorted list; and forming clusters of documents based on the similarity values between adjacent document vectors in the sorted list.