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THE STUDY OF OBJECTSCLUSTERING ALGORITHMSBASED ONSELF-ORGANIZINGKOHONEN CARDS USINGMETHODS OF EXTRACTINGFACTORS Markushin EgorShkaberina GuzelRezova Natalya2025 год

THE STUDY OF OBJECTS CLUSTERING ALGORITHMS BASED ON SELF-ORGANIZING KOHONEN CARDS USING METHODS OF EXTRACTING FACTORS : научное издание
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: THE STUDY OF OBJECTS CLUSTERING ALGORITHMS BASED ON SELF-ORGANIZING KOHONEN CARDS USING METHODS OF EXTRACTING FACTORS : научное издание / E. Markushin, G. Shkaberina, N. Rezova [и др.]. - Текст : непосредственный // Facta Universitatis, Series: Mathematics and Informatics. - 2025. - Т. 40, № 3. - С. 563. - ISSN 0352-9665. - ISSN 2406-047X, DOI 10.22190/fumi240616041m.
Аннотация: <jats:p>We proposed algorithms for objects clustering based on self-organizing Kohonen maps using various methods of extracting factors (factor analysis: Principal Component Analysis, Maximum Likelihood Estimation, Principal Component Analysis based on Singular Value Decomposition). We performed experiments with different distance measures (Mahalanobis, Euclidean, squared Euclidean, Manhattan), various ways of neuron weights initialization (random, with choice of weight coefficients from a dataset). The computational experiments showed that the use methods of extracting factors in the SOM algorithm improves the accuracy of clustering in most cases. Moreover, clustering accuracy decreases with increasing number of homogeneous batches in a mixed lot.</jats:p>
Год издания: 2025
Авторы: Markushin Egor, Shkaberina Guzel, Rezova Natalya, Popov Aleksey, Kazakovtsev Lev
Издательство: Белград
Источник: Facta Universitatis, Series: Mathematics and Informatics
Выпуск: Т. 40, № 3
Номера страниц: 563
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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