Email this article A Probabilistic Model of Fuzzy Clustering Ensemble
- Authors: Berikov V.B.1,2
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Affiliations:
- Sobolev Institute of Mathematics
- Novosibirsk State University
- Issue: Vol 28, No 1 (2018)
- Pages: 1-10
- Section: Mathematical Method in Pattern Recognition
- URL: https://bakhtiniada.ru/1054-6618/article/view/195280
- DOI: https://doi.org/10.1134/S1054661818010029
- ID: 195280
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Abstract
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.
About the authors
V. B. Berikov
Sobolev Institute of Mathematics; Novosibirsk State University
Author for correspondence.
Email: berikov@math.nsc.ru
Russian Federation, Novosibirsk, 630090; Novosibirsk, 630090
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