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A Probabilistic Model of Fuzzy Clustering Ensemble Научная публикация

Журнал

Pattern Recognition and Image Analysis
ISSN: 1054-6618 , E-ISSN: 1555-6212

Вых. Данные

Год: 2018, Том: 28, Номер: 1, Страницы: 1-10 Страниц : 10 DOI: 10.1134/S1054661818010029

Ключевые слова

collective decision-making; fuzzy cluster analysis; misclassification probability

Авторы

Berikov V.B. ^1,2

Организации

1	Sobolev Institute of Mathematics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation
2	Novosibirsk State University, Novosibirsk, 630090, Russian Federation

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. © 2018, Pleiades Publishing, Ltd.

Berikov V.B.
A Probabilistic Model of Fuzzy Clustering Ensemble
Pattern Recognition and Image Analysis. 2018. V.28. N1. P.1-10. DOI: 10.1134/S1054661818010029 Scopus OpenAlex

Scopus:	2-s2.0-85044100813
OpenAlex:	W2793071610

БД	Цитирований
Scopus	17
OpenAlex	17