8. The method of claim 1 , wherein the first and second unsupervised clustering includes agglomerative partitional clustering of said organization entities, said organization entities comprising constituent string tokens; wherein the threshold for the similarity of pairs of organization entities is a fixed value determined using edit distance; and wherein the threshold for similarity of constituent string tokens is a variable value determined using a local sequence alignment algorithm.
8. The method of claim 1 , wherein the first and second unsupervised clustering includes agglomerative partitional clustering of said organization entities, said organization entities comprising constituent string tokens; wherein the threshold for the similarity of pairs of organization entities is a fixed value determined using edit distance; and wherein the threshold for similarity of constituent string tokens is a variable value determined using a local sequence alignment algorithm. 10. The method of claim 8 , wherein the edit distance algorithm is a form of a Levenshtein distance.