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Pattern Recognition and Image Analysis

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01.09.2023 | PATTERN RECOGNITION AND IMAGE ANALYSIS AUTOMATED SYSTEMS, HARDWARE AND SOFTWARE

Nonparametric System for Automatic Classification of Large-Scale Statistical Data

verfasst von: A. V. Lapko, V. A. Lapko, V. P. Tuboltsev

Erschienen in: Pattern Recognition and Image Analysis | Ausgabe 3/2023

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Abstract

The structure of a nonparametric system for automatic classification of large-scale statistical data is proposed and substantiated. The structure of the system under consideration is made up of a technique for compressing the initial information, algorithms for automatic classification of the transformed data, and a procedure for aggregating the results obtained. To implement the functions of the system under study, new methods are used for testing hypotheses about the distributions of random variables and discretizing the range of their values. The effectiveness of the system is illustrated by the results of its application in assessing the state of forests damaged by the four-eyed fir bark beetle, according to remote sensing data.

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Titel: Nonparametric System for Automatic Classification of Large-Scale Statistical Data
verfasst von: A. V. Lapko
V. A. Lapko
V. P. Tuboltsev
Publikationsdatum: 01.09.2023
Verlag: Pleiades Publishing
Erschienen in: Pattern Recognition and Image Analysis / Ausgabe 3/2023
Print ISSN: 1054-6618
Elektronische ISSN: 1555-6212
DOI: https://doi.org/10.1134/S1054661823030252

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