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

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

Journal of neuroscience methods, vol.299, pp.45-54, 2018 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 299
  • Publication Date: 2018
  • Doi Number: 10.1016/j.jneumeth.2018.02.007
  • Journal Name: Journal of neuroscience methods
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.45-54


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.