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Использование тематических моделей в извлечении однословных терминов
С. 52–60.
Нокель М.А., Лукашевич Н.В.
In book
Vol. 1108. , CEUR Workshop Proceedings, 2013.
Городничев М. Г., Саксонов Е. А., Кулагин В. П. et al., Вестник Рязанского государственного радиотехнического университета, Российская Федерация 2025 № 94 С. 59–67
The article is devoted to the development and experimental evaluation of a decentralized architecture for an intelligent transport system (ITS) based on the Raft consensus protocol and the network distance metric (RTT) server clustering method. It is shown that existing solutions either require manual configuration and centralized coordination, or are not optimized for latency with ...
Added: March 25, 2026
Morychev G., Sizykh D., Sizykh N., IEEE Access 2025 Vol. 13 P. 213194–213210
One of the main tools for analyzing large volumes of financial data is the use of clustering methods and models, which allow the identification of various patterns. This study examines the problem of clustering time series that reflect the behavior of prices, yields, modes, trends, and a number of related stock indicators. The relevance and ...
Added: February 3, 2026
Rubchinskiy A., Chubarova D., Technology and Investment 2025 Vol. 16 No. 4 P. 211–240
The article considers one of the most famous examples of socio-economic systems characterized by significant uncertainty—the S&P-500 stock market, where shares of 500 largest US companies are traded. The flexible algorithm for daily trading has been developed. It is based on known fixed data about cost of shares in previous days as well as on ...
Added: December 19, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Khomenko A., Komratova A., Isakov D. et al., , in: Computational linguistics and intellectual technologies. Papers from the Annual International Conference "Dialogue" (2025)Vol. 23.: [б.и.], 2025. P. 147–157.
The integration of automated speech analysis in diagnosing mental health disorders is becoming increasingly significant in both clinical and computational linguistics. This study aims to construct linguistic profiles for individuals with neurocognitive and affective mental disorders. Using speech transcriptions and relevant to the study computational techniques like lexical clustering and stylostatistical analysis, this research looks ...
Added: October 19, 2025
Индаков Г. С., Казначеев П. А., Майбук З. Я. et al., Геофизические исследования 2025 Т. 26 № 2 С. 99–124
The paper studies the clusterability of acoustic emission pulses during high-temperature heating of sandstone sample preliminarily subjected to mechanical loading. Mechanical loading was applied in uniaxial mode up to load close to destructive with appearance of signs of large cracks on the surface. After that, samples were subjected to thermal treatment up to 650 °C ...
Added: September 19, 2025
Sherstinova T., Вепринцева Д. А., Человек: образ и сущность. Гуманитарные аспекты 2025 № 2(62) С. 89–108
В статье рассматриваются три разных подхода к изучению тематики повседневных разговоров: экспертная тематическая разметка и два автоматических метода (тематическое моделирование и кластеризация). Материалом для исследования послужили расшифровки русской устной повседневной речи из корпуса ОРД, подготовленные на основе звукозаписей спонтанных разговоров, выполненных в естественных коммуникативных ситуациях (дома, на работе, в учебном заведении, в магазине, в поликлинике ...
Added: September 3, 2025
Maksimov A. G., Telezhkina M., / NRU Higher School of Economics. Series EC "Economics". 2024. No. 271.
The paper examines similarity of models with structural changes among heterogeneous panel data units. We propose applying a cosine metric to compare angles between vectors of weighted coefficients as a measure of closeness of economic models. Testing whether the cosine metric value is zero against nonzero, positive, and negative alternatives enriches traditional testing results. The ...
Added: March 10, 2025
Aleskerov F. T., Myachin A. L., Yakuba V. I., Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика) 2024 Т. 520 № 1 С. 29–34
Предлагается новый метод быстрого поиска закономерностей в числовых данных большой раз-мерности, названный “туннельной кластеризацией”. Основными преимуществами нового методаявляются: относительно невысокая вычислительная сложность; эндогенное определение составаи количества кластеров; высокая степень интерпретируемости конечных результатов. Приведеноописание трех различных вариаций: с фиксированными гиперпараметрами, адаптивными, а так-же комбинированный подход. Рассмотрены три основных свойства туннельной кластеризации.Практическое применение приведено как на синтетических ...
Added: March 3, 2025
Гусейнов О., Degtyarev K. Y., IRETC MTÜ PAHTEI - Proceedings of Azerbaijan High Technical Educational Institutions 2025 Т. 48 № 1 С. 360–370
The concept of Z-number was proposed by Prof. Lotfi Zadeh to describe partial reliability of information, and it is a kind of fusion of fuzziness and probabilistic uncertainty. Z-number can be presented as a pair of fuzzy numbers Z(A,B) used to describe a value of a random variable X. The first component (A) is a ...
Added: February 20, 2025
T. A. Alvandyan, S. Shalileh, Doklady Mathematics 2024 Vol. 110 No. S1 P. S236–S250
Clustering has always been in great demand by scientific and industrial communities. However, due to the lack of ground truth, interpreting its obtained results can be debatable. The current research provides an empirical benchmark on the efficiency of three popular and one recently proposed crisp clustering methods. To this end, we extensively analyzed these (four) ...
Added: November 30, 2024
Gnidchenko A., Mikheeva O. M., Salnikov V., Вопросы экономики 2023 № 12 С. 48–65
We examine the division of countries according to their political attitude towards Russia after the launch of a special military operation in Ukraine and the introduction of large-scale sanctions, and illustrate the importance of sanctions and political attitude to Russia for countries’ exports there with the available statistical data. The countries are clustered by their ...
Added: October 28, 2024
Т.А. Дуброва, М.А.Есенин, М.: Издательско-торговая корпорация «Дашков и Ко», 2024.
В учебном пособии представлены теоретические основы статистических методов снижения размерности и кластеризации, востребованных в экономических исследованиях. Рассмотрены метод главных компонент, методы кластерного анализа (иерархические агломеративные процедуры и различные модификации метода k-средних), позволяющие проводить многомерный статистический анализ сложных наборов данных. Приведены примеры практического применения обсуждаемых
методов в экономических задачах, большое внимание уделено интерпретации результатов. Каждую главу завершают ...
Added: October 25, 2024
Богданова Т. К., Жукова Л. В., В кн.: XI-я международная конференция «Многомерный статистический анализ, эконометрика и моделирование реальных процессов» имени С.А. Айвазяна.: М.: ЦЭМИ РАН, 2024. С. 41–44.
The paper is devoted to the analysis and forecasting of the average salary of teachers. For 84 regions on the basis of their socio-demographic characteristics according to Rosstat data using Ward's method we obtained a two-cluster solution, which allowed us to identify quite strong differences in the level of wages, GRP per capita, level of ...
Added: October 4, 2024