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

Aljobouri, Hadeel; Jaber, Hussain; Kocak, Orhan; ALGIN, OKTAY; ÇANKAYA, İLYAS

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., Kocak O. M., ALGIN O., ÇANKAYA İ.

JOURNAL OF NEUROSCIENCE METHODS, cilt.299, ss.45-54, 2018 (SCI-Expanded, Scopus)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 299
Basım Tarihi: 2018
Doi Numarası: 10.1016/j.jneumeth.2018.02.007
Dergi Adı: JOURNAL OF NEUROSCIENCE METHODS
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.45-54
Anahtar Kelimeler: Clustering technique, Data mining, Growing neural gas (GNG), Robust growing neural gas (RGNG), FUNCTIONAL MRI, COMPONENT ANALYSIS, ACTIVATIONS
Ankara Üniversitesi Adresli: Hayır

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.