1. A computer-based method for computation of similarity matrices of objects in a high-dimensional space of attributes with the purpose of clustering by method for evolutionary transformation of similarity matrices, allowing for fusion of different attributes (parameters) on a dimensionless basis, comprising the steps of: a) computation of similarity matrices for each of attributes (parameters) individually, such matrices being monomer similarity matrices; and b) hybridization of all monomer similarity matrices into one hybrid matrix which is further used in clustering process.