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Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification
Joint Authors
Yuan, Zheming
Sun, Congwei
Zhang, Hongyan
Li, Lanzhi
Dai, Zhijun
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-29
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A prerequisite to understand neuronal function and characteristic is to classify neuron correctly.
The existing classification techniques are usually based on structural characteristic and employ principal component analysis to reduce feature dimension.
In this work, we dedicate to classify neurons based on neuronal morphology.
A new feature selection method named binary matrix shuffling filter was used in neuronal morphology classification.
This method, coupled with support vector machine for implementation, usually selects a small amount of features for easy interpretation.
The reserved features are used to build classification models with support vector classification and another two commonly used classifiers.
Compared with referred feature selection methods, the binary matrix shuffling filter showed optimal performance and exhibited broad generalization ability in five random replications of neuron datasets.
Besides, the binary matrix shuffling filter was able to distinguish each neuron type from other types correctly; for each neuron type, private features were also obtained.
American Psychological Association (APA)
Sun, Congwei& Dai, Zhijun& Zhang, Hongyan& Li, Lanzhi& Yuan, Zheming. 2015. Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057957
Modern Language Association (MLA)
Sun, Congwei…[et al.]. Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1057957
American Medical Association (AMA)
Sun, Congwei& Dai, Zhijun& Zhang, Hongyan& Li, Lanzhi& Yuan, Zheming. Binary Matrix Shuffling Filter for Feature Selection in Neuronal Morphology Classification. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1057957
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057957