Institute of Information Theories and Applications FOI ITHEA
In this work the new pattern recognition method based on the unification of algebraic and statistical
approaches is described. The main point of the method is the voting procedure upon the statistically weighted
regularities, which are linear separators in two-dimensional projections of feature space. The report contains brief
description of the theoretical foundations of the method, description of its software realization and the results of
series of experiments proving its usefulness in practical tasks.