1. A method for computerized classification of a time series containing a prescribable number of samples, comprising the steps of: supplying a time series containing a prescribable plurality of samples to a computer and, in said computer, determining a parameterized, dynamic set from the samples in said time series identifying non-linear correlations between said samples of said time series; and classifying said time series in said computer dependent on said parameterized, dynamic set.