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

• Main Authors: Mohd Suhaimi, Nur Farahana, Htike, Zaw Zaw
• Format: Conference or Workshop Item
• Language: English; English
• 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/

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...