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An Improved Feature Selection Based on Effective Range for Classification
Joint Authors
Wang, Jianzhong
Zhou, Shuang
Yi, Yugen
Kong, Jun
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Feature selection is a key issue in the domain of machine learning and related fields.
The results of feature selection can directly affect the classifier’s classification accuracy and generalization performance.
Recently, a statistical feature selection method named effective range based gene selection (ERGS) is proposed.
However, ERGS only considers the overlapping area (OA) among effective ranges of each class for every feature; it fails to handle the problem of the inclusion relation of effective ranges.
In order to overcome this limitation, a novel efficient statistical feature selection approach called improved feature selection based on effective range (IFSER) is proposed in this paper.
In IFSER, an including area (IA) is introduced to characterize the inclusion relation of effective ranges.
Moreover, the samples’ proportion for each feature of every class in both OA and IA is also taken into consideration.
Therefore, IFSER outperforms the original ERGS and some other state-of-the-art algorithms.
Experiments on several well-known databases are performed to demonstrate the effectiveness of the proposed method.
American Psychological Association (APA)
Wang, Jianzhong& Zhou, Shuang& Yi, Yugen& Kong, Jun. 2014. An Improved Feature Selection Based on Effective Range for Classification. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051815
Modern Language Association (MLA)
Wang, Jianzhong…[et al.]. An Improved Feature Selection Based on Effective Range for Classification. The Scientific World Journal No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1051815
American Medical Association (AMA)
Wang, Jianzhong& Zhou, Shuang& Yi, Yugen& Kong, Jun. An Improved Feature Selection Based on Effective Range for Classification. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1051815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051815