1. A method of encoding eye movements and eye tracking data, wherein the eye movements and eye tracking data are represented as time and space parameters in the form of groups of numbers being obtained by means of an eye tracking device and each group of numbers being assigned to a viewpoint, wherein pairs of numbers are taken from the groups of numbers and are combined with each other to obtain for each combination a value that indicates at least a spatial distance between two viewpoints to which the respective pair of numbers is assigned, wherein the obtained values represent an encoding or code of the eye movement and eye tracking data, wherein the values are determined and stored in form of a first matrix or array which represents a scanpath and wherein at least two matrices are determined, each matrix representing a scanpath and wherein the matrices are processed and compared to obtain for each comparison a similarity value X that indicates the similarity of visual behaviors with respect to the compared scanpaths; wherein the groups of numbers represent triples of numbers according to the time and space parameters, and wherein two triples of numbers are taken in pairs and are combined with each other to obtain for each combination a value that indicates at least the temporal and spatial distance between two viewpoints, wherein the similarity value of scanpath is characterized by its Kolmogorov complexity in the form of its compressibility which is based on a predictive, run-length, and entropy encoding of the distance encoded scanpath, wherein the predictive, run-length, and entropy encoding includes a Huffman encoding, and wherein the sub-matrices are each subjected to a harmonic analysis to obtain transformed sub-matrices.