A Probabilistic Model of Fuzzy Clustering Ensemble

V. B. Berikov

doi:10.1134/S1054661818010029

A Probabilistic Model of Fuzzy Clustering Ensemble

V. B. Berikov

Кафедра теоретической кибернетики ММФ

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

3 Цитирования (Scopus)

Аннотация

A probabilistic model of clustering ensemble based on a collection of fuzzy clustering algorithms and a weighted co-association matrix is proposed. An expression for the upper bound of the misclassification probability of an arbitrary pair of objects is obtained depending on the characteristics of the ensemble. This expression is used to determine the optimal weights of the algorithms.

Язык оригинала	английский
Журнал	Pattern Recognition and Image Analysis
Том	28
Номер выпуска	1
DOI	https://doi.org/10.1134/S1054661818010029
Состояние	Опубликовано - 1 янв 2018

Доступ к документу

10.1134/S1054661818010029

Link to publication in Scopus

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