The probabilities of the clusterization of the complex graphic information in accordance with the topological properties of phase space of dynamical system of the images recognition

We describe the practical probabilities of grouping of the multi-dimensional data used in dynamical images recognition problems by their context belonging to the system domains of attraction. The criteria of belonging are introduced basing on the euclidean definition of distance in the subspace with non-orthonormal basis.