Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks

Graph-Kernel Based Structured Feature Selection for Brain Disease Classification Using Functional Connectivity Networks

Feature selection has been applied to the analysis of complex structured data, such as functional connectivity networks (FCNs) constructed on resting-state functional magnetic resonance imaging (rs-fMRI), for removing redundant/noisy information. Previous studies usually first extract topological me...

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Bibliographic Details
Main Authors: Mi Wang, Biao Jie, Weixin Bian, Xintao Ding, Wen Zhou, Zhengdong Wang, Mingxia Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Functional connectivity network
graph kernel
feature selection
Laplacian regularizer
classification
Online Access:https://ieeexplore.ieee.org/document/8664175/

Internet

https://ieeexplore.ieee.org/document/8664175/

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