On the nonlinear mapping of sets of signs on the number axis
Ключевые слова:
image recognition, logical patterns, data cluster analysisАннотация
The method of dividing the training sample into non-intersecting groups of objects
based on the property of their connection according to the defined subset of boundary
objects of classes is considered. Grouping is used to find the coverage of the sample with
reference objects. The formation of a new feature space for representing objects is described
by nonlinear mapping of non-intersecting set of features onto the number axis.