Exploratory analysis of multidimensional data and its segmentation by dynamic projection on the pseudothree-dimensional cognitive images

The new method for visualization of multidimensional data, where the perception of multidimensional space realized the projection of multidimensional data on low-dimensional space (2, 3-D) by their partition emanating from the origin rays, equal to the number of dimensions of the original data space is suggested. For each point of the original space the mapping points as centers of gravity of plane polygons, derived from sediments of the value of the corresponding coordinates on the rays are determined. The results can be used in constructing the decision rules in decision-making problems in the hard forming technology and information systems.