Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining.

Aljobouri, İLYAS; Jaber, Hussain; KOÇAK, ORHAN; Algin, OKTAY; Cankaya, Ilyas

doi:10.1016/j.jneumeth.2018.02.007

Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining.

Atıf İçin Kopyala

Aljobouri H. K. , Jaber H. A. , KOÇAK O. M. , Algin O. , Cankaya I.

Journal of neuroscience methods, cilt.299, ss.45-54, 2018 (SCI Expanded İndekslerine Giren Dergi)

Cilt numarası: 299
Basım Tarihi: 2018
Doi Numarası: 10.1016/j.jneumeth.2018.02.007
Dergi Adı: Journal of neuroscience methods
Sayfa Sayıları: ss.45-54

Özet

Background: Clustering approaches used in functional magnetic resonance imaging (fMRI) research use brain activity to divide the brain into various parcels with some degree of homogeneous characteristics, but choosing the appropriate clustering algorithms remains a problem.