Method to reduce false results quantity in pattern recognition by analysis of source data errors

A new algorithm for statistical pattern recognition allows to take into account statistical nature of observation on the stage of division function calculation, as well as when solving vector classification is described. It is shown that traditional methods, not fully considering the statistical nature of observations, give much more false results than the new algorithm proposed.