Algorithm of automatic classification of linearly inseparable data in continuous attribute spaces with limited precedent

The new algorithm for automatic classification of multidimensional linearly inseparable data using human classification criteria ("humanoid" taxonomy) and designed on its basis software package of classification of multidimensional data with flexible information processing system, which facilitates the work of researchers in modeling of organizational processes and decision-making procedures, are offered. The obtained results can be used in the construction of decision rules in decision-making problems in hard forming technical and information systems.