ALGORITHMS FOR TRANSFORMING FEATURE TYPES FOR PROBLEMS STUDIES OF PAIRED INTERDEPENDENCIES OF FEATURES
DOI:
10.26577/JMMCS1302202611Keywords:
Transforming feature types, correlation analysis, experimental data table, feature types, optimizationAbstract
The development and improvement of methods for digital processing of symbols, selection of informative symbols, preliminary processing of images and recognition of symbols, and their implementation in practice have been studied by scientists, but the development of methods and algorithms for preliminary processing of data, recognition of symbols and symbols, and selection of informative symbols, and the creation of data processing softwarebased on them have not been studied sufficiently. The article reviews computational algorithms for finding the optimal replacement of integer gradation levels of the number of permutations g used in determining the empirical order scale in the study of paired interrelationships of symbols.










