Comparison of machine learning classifiers for dimensionally reduced fMRI data using random projection and principal component analysis

Comparison of machine learning classifiers for dimensionally reduced fMRI data using random projection and principal component analysis

Machine learning has opened up the opportunity for understanding how the brain works. In this paper, functional magnetic resonance imaging (fMRI) data are analyzed with reduced dimension.We have carried out a performance comparison of random projection (RP) and principal component analysis (PCA) wi...

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Bibliographic Details
Main Authors: Mohd Suhaimi, Nur Farahana, Htike, Zaw Zaw
Format: Proceeding Paper
Language:en
en
Published: IEEE 2019
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/78086/13/78086_Comparison%20of%20Machine%20Learning%20Classifiers%20for%20dimensionally%20reduced%20fMRI%20data.pdf
http://irep.iium.edu.my/78086/14/78086_Comparison%20of%20Machine%20Learning%20Classifiers%20for%20dimensionally%20reduced%20fMRI%20data_SCOPUS.pdf
http://irep.iium.edu.my/78086/
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http://irep.iium.edu.my/78086/13/78086_Comparison%20of%20Machine%20Learning%20Classifiers%20for%20dimensionally%20reduced%20fMRI%20data.pdf
http://irep.iium.edu.my/78086/14/78086_Comparison%20of%20Machine%20Learning%20Classifiers%20for%20dimensionally%20reduced%20fMRI%20data_SCOPUS.pdf
http://irep.iium.edu.my/78086/

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