DENSITY DISTRIBUTION OF DATA CONSIDERING OBJECT RELATIONSHIPS

The problem of taking into account the influence of the distribution density of features on the structure of relationships between objects is considered. Analysis of the structure of relationships is necessary to find ways to increase the generalization ability of recognition algorithms. As a criterion for assessing the structure, it is proposed to use the values of the measure of compactness of class objects according to a given metric. A significant number of methods are based on the assumption of normal data distribution density. A technique is proposed for calculating the parameters of real density, the analytical form of which is initially unknown. The effectiveness of using real density relative to normal density is substantiated. When justifying, ordered sequences of values of differences between classes according to pairs of nominal characteristics are used. Data analysis using the proposed compactness measure is one means to solve the curse of dimensionality problem in BigData.

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