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.

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

Journal of neuroscience methods, vol.299, pp.45-54, 2018 (Journal Indexed in SCI Expanded)

Publication Type: Article / Article
Volume: 299
Publication Date: 2018
Doi Number: 10.1016/j.jneumeth.2018.02.007
Title of Journal : Journal of neuroscience methods
Page Numbers: pp.45-54

Abstract

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.