Formation and Analysis of Sets of Informative Features of Objects by Pairs of Classes
Abstract
The article considers procedures for the formation of sets of informative features, the selection of which is carried out according to pairs of disjoint classes of objects with the algorithm of a hierarchical agglomerative grouping of initial features. The class indices are considered to belong to the set of the admissible values of the classification attribute in the original scale. The calculation of latent indicators by groups is used to reduce the dimensionality of space in the description of objects. A measure of the compactness of classes by the latent indicator is proposed, which makes it possible to evaluate sets of features. The set of features that has the maximum value of the compactness measure is selected as informative. The properties of binary relations between classes with respect to the values of the compactness measure are investigated.