On the nonlinear mapping of sets of signs on the number axis

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Abstract

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.

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References

1. [1]A method for forming a new feature space using hierarchical agglomerative grouping. Using this method, a set of values from non-intersecting set of features is mapped onto the number line. Display results are used as new (latent) characteristics in the description of objects.