1. A method for segmenting in an n-dimensional feature space which is present as a data space, the method comprising the steps of: (a) selecting a single data region of said data space; (b) interpreting the selected data region so as to cause said data region to contain at least two classes of objects to be segmented; (c) determining a separation function in said n-dimensional feature space to distinguish said at least two classes; (d) generalizing by applying said separation function to the entire data space or a large component quantity of said data space to obtain a result; and, (e) visualizing said result in real time.