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Semisupervised Particle Swarm Optimization for Classification
Joint Authors
Wei, Zhengli
Zhang, Xiangrong
Paul, Anand
Song, Qiang
Jiao, Licheng
Yuan, Yongfu
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A semisupervised classification method based on particle swarm optimization (PSO) is proposed.
The semisupervised PSO simultaneously uses limited labeled samples and large amounts of unlabeled samples to find a collection of prototypes (or centroids) that are considered to precisely represent the patterns of the whole data, and then, in principle of the “nearest neighborhood,” the unlabeled data can be classified with the obtained prototypes.
In order to validate the performance of the proposed method, we compare the classification accuracy of PSO classifier, k-nearest neighbor algorithm, and support vector machine on six UCI datasets, four typical artificial datasets, and the USPS handwritten dataset.
Experimental results demonstrate that the proposed method has good performance even with very limited labeled samples due to the usage of both discriminant information provided by labeled samples and the structure information provided by unlabeled samples.
American Psychological Association (APA)
Zhang, Xiangrong& Jiao, Licheng& Paul, Anand& Yuan, Yongfu& Wei, Zhengli& Song, Qiang. 2014. Semisupervised Particle Swarm Optimization for Classification. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-501728
Modern Language Association (MLA)
Zhang, Xiangrong…[et al.]. Semisupervised Particle Swarm Optimization for Classification. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-501728
American Medical Association (AMA)
Zhang, Xiangrong& Jiao, Licheng& Paul, Anand& Yuan, Yongfu& Wei, Zhengli& Song, Qiang. Semisupervised Particle Swarm Optimization for Classification. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-501728
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501728