1. A method of segmenting and clustering ordered information comprising the steps of: windowing ordered information; parameterizing the windowed information; storing the parameterized information into a two-dimensional representation; determining a similarity matrix of vectors in the two-dimensional representation; determining an orthogonal matrix decomposition of the similarity matrix based on at least one of, a singular value decomposition, eigenvector analysis, Gram-Schmidt and Gaussian elimination.