  A spectral method for identifying lumping in large Markov chains is
presented. Identification of meta stable states is treated as a special case.
The method is based on spectral analysis of a self-adjoint matrix that is a
function of the original transition matrix. It is demonstrated that the
technique is more robust than existing methods when applied to noisy
non-reversible Markov chains.
