Comment by bsteinbach

In defense of sliding windows of time series, if not clustering, the principal components analysis of the matrix on page 1 is one robust way to extract a linear model for the system producing the time series. It's useful for finding frequencies of closely spaced oscillators in a time series when least squares fitting would be arduous to parameterize and convergence a battle.