GA-Based Membrane Evolutionary Algorithm for Ensemble Clustering
Joint Authors
Liu, Xiyu
Wang, Yanhua
Xiang, Laisheng
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Ensemble clustering can improve the generalization ability of a single clustering algorithm and generate a more robust clustering result by integrating multiple base clusterings, so it becomes the focus of current clustering research.
Ensemble clustering aims at finding a consensus partition which agrees as much as possible with base clusterings.
Genetic algorithm is a highly parallel, stochastic, and adaptive search algorithm developed from the natural selection and evolutionary mechanism of biology.
In this paper, an improved genetic algorithm is designed by improving the coding of chromosome.
A new membrane evolutionary algorithm is constructed by using genetic mechanisms as evolution rules and combines with the communication mechanism of cell-like P system.
The proposed algorithm is used to optimize the base clusterings and find the optimal chromosome as the final ensemble clustering result.
The global optimization ability of the genetic algorithm and the rapid convergence of the membrane system make membrane evolutionary algorithm perform better than several state-of-the-art techniques on six real-world UCI data sets.
American Psychological Association (APA)
Wang, Yanhua& Liu, Xiyu& Xiang, Laisheng. 2017. GA-Based Membrane Evolutionary Algorithm for Ensemble Clustering. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1140957
Modern Language Association (MLA)
Wang, Yanhua…[et al.]. GA-Based Membrane Evolutionary Algorithm for Ensemble Clustering. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1140957
American Medical Association (AMA)
Wang, Yanhua& Liu, Xiyu& Xiang, Laisheng. GA-Based Membrane Evolutionary Algorithm for Ensemble Clustering. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1140957
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140957