The choice of informative features based on heterogeneous functionals
Narzillo MamatovTashkent University Information Technologies named after Al-Kharezmi, Tashkent, UzbekistanNilufar NiyozmatovaTashkent University Information Technologies named after Al-Kharezmi, Tashkent, UzbekistanAbdurashid SamijonovTashkent University Information Technologies named after Al-Kharezmi, Tashkent, UzbekistanSh JuraevNamangan State University, Namangan, UzbekistanB. M. AbdullayevaNamangan State University, Namangan, Uzbekistan
Ochiq kirishOlmos
Litsenziya: cc-by
ABI
Annotatsiya
Abstract One of the classical problems of the theory of pattern recognition is to reduce the dimension of the original feature space from dimension N to dimension N ’, N ’ < N . In the first works on pattern recognition, the task was to construct an informativeness criterion that maps N-dimensional to a space of lower dimension so that a solution can be made in this space. One of the advantages of this criterion is that the classification in a space of lower dimension is faster and easier, and the criterion of being constructed once.
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