32. The method of claim 26, wherein said generating a reduced dimensionality cluster comprises a singular value decomposition further comprising the steps of: producing a transformation matrix and eigenvalues of the transformation matrix for said each cluster; and selecting a subset of the eigenvalues including the largest eigenvalues; wherein the dimensionality reduction information includes the transformation matrix and the subset of the eigenvalues.
32. The method of claim 26, wherein said generating a reduced dimensionality cluster comprises a singular value decomposition further comprising the steps of: producing a transformation matrix and eigenvalues of the transformation matrix for said each cluster; and selecting a subset of the eigenvalues including the largest eigenvalues; wherein the dimensionality reduction information includes the transformation matrix and the subset of the eigenvalues. 36. The program storage device of claim 32, wherein said selecting a subset of the eigenvalues is a function of a precision and a recall of returned results.