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) identifier identifier identifier

  • 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.