| Инд. авторы: | Rylov S.A. |
| Заглавие: | Nonparametric clustering algorithm for image segmentation combining grid-based approach and mean-shift procedure |
| Библ. ссылка: | Rylov S.A. Nonparametric clustering algorithm for image segmentation combining grid-based approach and mean-shift procedure // CEUR Workshop Proceedings. - 2017. - Vol.2033. - P.150-155. - ISSN 1613-0073. |
| Внешние системы: | РИНЦ: 35517497; SCOPUS: 2-s2.0-85040241832; |
| Реферат: | eng: Nonparametric clustering is attractive because of its ability to discover arbitrary shaped clusters. Mean-shift is a well-known mode-seeking procedure that is capable of producing accurate results. However, it has high time complexity. On the other hand, grid-based methods are computationally efficient, but their accuracy is limited by the grid structure. A novel clustering algorithm that combines grid-based HCA algorithm with mean-shift procedure is proposed. Experiments show significant improvement of clustering accuracy over HCA and high computational efficiency. |
| Ключевые слова: | Image segmentation; Mean-shift; Nonparametric clustering; Time complexity; Clustering algorithms; Computationally efficient; Grid based method; Grid structures; Grid-based approach; Mean shift; Non-parametric; Clustering accuracy; Monitoring; Image segmentation; Data handling; Grid-based approach; Computational efficiency; |
| Издано: | 2017 |
| Физ. характеристика: | с.150-155 |
| Конференция: | Название: XIV Всероссийская научная конференция «Электронные библиотеки: перспективные методы и технологии, электронные коллекции» Аббревиатура: RCDL`2012 Город: Переславль-Залесский Страна: Россия Даты проведения: 2012-10-15 - 2012-10-18 Ссылка: http://rcdl2012.pereslavl.ru |
