Виділення щільних областей у метричних просторах на основі кристалізації
Application of artificial intelligence methods and fuzzy sets theory to the clusterization problem is considered. Data on dense accumulations in finite metric spaces is an object of the research. Calculations based on the fuzzy sets theory and “optical” approach to the metric space analysis are used...
Збережено в:
| Дата: | 2019 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | rus |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/171809 |
| Теги: |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | Application of artificial intelligence methods and fuzzy sets theory to the clusterization problem is considered. Data on dense accumulations in finite metric spaces is an object of the research. Calculations based on the fuzzy sets theory and “optical” approach to the metric space analysis are used. The result of the research is realization of “Crystal” algorithms in searching for dense areas in multidimensional data arrays. |
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