Feature Selection Method Based on Neighborhood Relationships: Applications in EEG Signal Identification and Chinese Character Recognition
1
Department of Computer Science & Information Engineering, National Quemoy University, 89250 Kinmen Island, Taiwan
2
Department of Electrical Engineering, Tamkang University, 25137 New Taipei City, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editors: Steffen Leonhardt and Daniel Teichmann
Sensors 2016, 16(6), 871; https://doi.org/10.3390/s16060871
Received: 18 April 2016
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Revised: 24 May 2016
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Accepted: 8 June 2016
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Published: 14 June 2016
(This article belongs to the Special Issue Noninvasive Biomedical Sensors)
In this study, a new feature selection algorithm, the neighborhood-relationship feature selection (NRFS) algorithm, is proposed for identifying rat electroencephalogram signals and recognizing Chinese characters. In these two applications, dependent relationships exist among the feature vectors and their neighboring feature vectors. Therefore, the proposed NRFS algorithm was designed for solving this problem. By applying the NRFS algorithm, unselected feature vectors have a high priority of being added into the feature subset if the neighboring feature vectors have been selected. In addition, selected feature vectors have a high priority of being eliminated if the neighboring feature vectors are not selected. In the experiments conducted in this study, the NRFS algorithm was compared with two feature algorithms. The experimental results indicated that the NRFS algorithm can extract the crucial frequency bands for identifying rat vigilance states and identifying crucial character regions for recognizing Chinese characters.
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MDPI and ACS Style
Zhao, Y.-X.; Chou, C.-H. Feature Selection Method Based on Neighborhood Relationships: Applications in EEG Signal Identification and Chinese Character Recognition. Sensors 2016, 16, 871. https://doi.org/10.3390/s16060871
AMA Style
Zhao Y-X, Chou C-H. Feature Selection Method Based on Neighborhood Relationships: Applications in EEG Signal Identification and Chinese Character Recognition. Sensors. 2016; 16(6):871. https://doi.org/10.3390/s16060871
Chicago/Turabian StyleZhao, Yu-Xiang, and Chien-Hsing Chou. 2016. "Feature Selection Method Based on Neighborhood Relationships: Applications in EEG Signal Identification and Chinese Character Recognition" Sensors 16, no. 6: 871. https://doi.org/10.3390/s16060871
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