A Probabilistic Model of Fuzzy Clustering Ensemble

A Probabilistic Model of Fuzzy Clustering Ensemble Full article

Journal

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

Output data

Year: 2018, Volume: 28, Number: 1, Pages: 1-10 Pages count : 10 DOI: 10.1134/S1054661818010029

Tags

collective decision-making; fuzzy cluster analysis; misclassification probability

Authors

Berikov V.B. ^1,2

Affiliations

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

DB	Citing
Scopus	19
OpenAlex	19