Публікація: Online Сredibilistic Fuzzy Clustering of Data with Gaps
Немає доступних мініатюр
Файли
Дата
2020
Назва журналу
ISSN журналу
Назва тома
Видавництво
Анотація
The problem of online fuzzy clustering based on credibilistic approaches based on the partial distance strategy and processing of data with gaps was proposed. The considered methods are simple in numerical implementation, being essentially gradient procedures for optimizing objective functions of a special type.
Опис
Ключові слова
Fuzzy clustering, data with gaps
Бібліографічний опис
Ye. Bodyanskiy, A. Shafronenko, I. Klymova Online Сredibilistic Fuzzy Clustering of Data with Gaps. 1st International scientific and practical con-ference “Prob-lems and perspec-tives of modern science and prac-tice” (January 30-31, 2020), Graz, Austria, P. 43-45