A Probabilistic Model of Fuzzy Clustering Ensemble
- 作者: Berikov V.B.1,2
-
隶属关系:
- Sobolev Institute of Mathematics
- Novosibirsk State University
- 期: 卷 28, 编号 1 (2018)
- 页面: 1-10
- 栏目: 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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详细
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.
作者简介
V. Berikov
Sobolev Institute of Mathematics; Novosibirsk State University
编辑信件的主要联系方式.
Email: berikov@math.nsc.ru
俄罗斯联邦, Novosibirsk, 630090; Novosibirsk, 630090
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