Ensemble Clustering with Heterogeneous Transfer Learning Научная публикация
| Конференция |
11th International Conference on Analysis of Images, Social Networks and Texts 28-30 сент. 2023 , Ереван |
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| Сборник | Analysis of Images, Social Networks and Texts : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers Сборник, Springer. Switzerland.2024. 364 c. ISBN 978-3-031-54534-4. |
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| Журнал |
Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349 |
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| Вых. Данные | Год: 2024, Том: 14486, Страницы: 255-266 Страниц : 12 DOI: 10.1007/978-3-031-54534-4_18 | ||
| Ключевые слова | Ensemble Clustering · Transfer Learning · Co-association matrix | ||
| Авторы |
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| Организации |
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Информация о финансировании (1)
| 1 | Институт математики им. С.Л. Соболева СО РАН | FWNF-2022-0015 |
Реферат:
This work introduces a novel approach to ensemble clustering by incorporating transfer learning. We address a clustering problem where, in addition to the data being analyzed, we have access to “similar” labeled data. The datasets may have different feature descriptions. Our method revolves around constructing meta-features that capture the structural characteristics of the data and transferring them from the source domain to the target domain. To define meta-features, we use the cluster ensemble method. Through extensive Monte Carlo modeling experiments, we have demonstrated the effectiveness of our proposed method. Notably, compared to other similar approaches, our method exhibits the capability to handle arbitrary feature descriptions in both the source and target domains. Additionally, it offers a reduced computational complexity, making it more efficient in practice.
Библиографическая ссылка:
Berikov V.
Ensemble Clustering with Heterogeneous Transfer Learning
В сборнике Analysis of Images, Social Networks and Texts : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers. – Springer., 2024. – C.255-266. – ISBN 978-3-031-54534-4. DOI: 10.1007/978-3-031-54534-4_18 Scopus OpenAlex
Ensemble Clustering with Heterogeneous Transfer Learning
В сборнике Analysis of Images, Social Networks and Texts : 11th International Conference, AIST 2023, Yerevan, Armenia, September 28–30, 2023, Revised Selected Papers. – Springer., 2024. – C.255-266. – ISBN 978-3-031-54534-4. DOI: 10.1007/978-3-031-54534-4_18 Scopus OpenAlex
Даты:
| Поступила в редакцию: | 31 авг. 2023 г. |
| Опубликована в печати: | 12 мар. 2024 г. |
| Опубликована online: | 12 мар. 2024 г. |
Идентификаторы БД:
| Scopus: | 2-s2.0-85189499128 |
| OpenAlex: | W4392956931 |
Цитирование в БД:
Пока нет цитирований