80083

Автор(ов): 

3

Параметры публикации
Тип публикации: 
Статья в журнале/сборнике
Название: 
Tunnel Clustering Method
ISBN/ISSN: 
1064-5624
DOI: 
10.1134/S1064562424702314
Наименование источника: 
Doklady Mathematics
Обозначение и номер тома: 
Vol.110, Iss. 3
Город: 
Москва
Издательство: 
Pleiades Publishing, Ltd
Год издания: 
2024
Страницы: 
474-479
Аннотация
We propose a novel method for rapid pattern analysis of high-dimensional numerical data, termed tunnel clustering. The main advantages of the method are its relatively low computational complexity, endogenous determination of cluster composition and number, and a high degree of interpretability of final results. We present descriptions of three different variations: one with fixed hyperparameters, an adaptive version, and a combined approach. Three fundamental properties of tunnel clustering are examined. Practical applications are demonstrated on both synthetic datasets containing 100 000 objects and on classical benchmark datasets.
Библиографическая ссылка: 
Алескеров Ф.Т., Мячин А.Л., Якуба В.И. Tunnel Clustering Method / Doklady Mathematics. М.: Pleiades Publishing, Ltd, 2024. Vol.110, Iss. 3. С. 474-479.