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The Optimization of Feature Selection Based on Chaos Clustering Strategy and Niche Particle Swarm Optimization
Joint Authors
Duan, Longzhen
Yang, Shuqing
Zhang, Dongbo
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
With the rapid increase of the data size, there are increasing demands for feature selection which has been a powerful tool to handle high-dimensional data.
In this paper, we propose a novel feature selection of niche particle swarm optimization based on the chaos group, which is used for evaluating the importance of feature selection algorithms.
An iterative algorithm is proposed to optimize the new model.
It has been proved that solving the new model is equivalent to solving a NP problem with a flexible and adaptable norm regularization.
First, the whole population is divided into two groups: NPSO group and chaos group.
The two groups are iterated, respectively, and the global optimization is updated.
Secondly, the cross-iteration of NPSO group and chaos group avoids the particles falling into the local optimization.
Finally, three representative algorithms are selected to be compared with each other in 10 UCI datasets.
The experimental results show that the feature selection performance of the algorithm is better than that of the comparison algorithm, and the classification accuracy is significantly improved.
American Psychological Association (APA)
Duan, Longzhen& Yang, Shuqing& Zhang, Dongbo. 2020. The Optimization of Feature Selection Based on Chaos Clustering Strategy and Niche Particle Swarm Optimization. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194217
Modern Language Association (MLA)
Duan, Longzhen…[et al.]. The Optimization of Feature Selection Based on Chaos Clustering Strategy and Niche Particle Swarm Optimization. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1194217
American Medical Association (AMA)
Duan, Longzhen& Yang, Shuqing& Zhang, Dongbo. The Optimization of Feature Selection Based on Chaos Clustering Strategy and Niche Particle Swarm Optimization. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194217
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194217