Binary matrix shuffling filter for feature selection in neuronal morphology classification

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成果类型：

期刊论文

作者：

Sun, Congwei;Dai, Zhijun;Zhang, Hongyan;Li, Lanzhi*;Yuan, Zheming

通讯作者：

Li, Lanzhi

作者机构：

[Zhang, Hongyan; Li, Lanzhi; Dai, Zhijun; Yuan, Zheming; Sun, Congwei] Hunan Agr Univ, Hunan Prov Key Lab Crop Germplasm Innovat & Utili, Changsha 410128, Hunan, Peoples R China.

[Zhang, Hongyan; Li, Lanzhi; Dai, Zhijun; Yuan, Zheming; Sun, Congwei] Hunan Agr Univ, Hunan Prov Key Lab Biol & Control Plant Dis & Ins, Changsha 410128, Hunan, Peoples R China.

[Zhang, Hongyan] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.

通讯机构：

[Li, Lanzhi] H

Hunan Agr Univ, Hunan Prov Key Lab Crop Germplasm Innovat & Utili, Changsha 410128, Hunan, Peoples R China.

语种：

英文

期刊：

Computational and Mathematical Methods in Medicine

ISSN：

1748-6718

年：

2015

卷：

2015

页码：

626975:1-626975:9

DOI：

10.1155/2015/626975

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31000666, 61300130]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2012M511722, 2014T70769]

机构署名：

本校为第一且通讯机构

院系归属：

植物保护学院

信息科学技术学院

摘要：

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 f...

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Binary matrix shuffling filter for feature selection in neuronal morphology classification

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