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

• Published in: Journal of neuroscience methods Vol. 299; pp. 45 - 54
• Main Authors: Aljobouri, Hadeel K., Jaber, Hussain A., Koçak, Orhan M., Algin, Oktay, Çankaya, Ilyas
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.04.2018
• Subjects: Algorithms; Brain - physiology; Brain Mapping - methods; Cluster Analysis; Clustering technique; Data mining; Data Mining - methods; Growing neural gas (GNG); Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Neural Networks (Computer); Neurosciences - methods; Robust growing neural gas (RGNG); Signal Processing, Computer-Assisted; Unsupervised Machine Learning; Robust growing neural gas (RGNG); Clustering technique; Data mining; Growing neural gas (GNG)

•A novel application of the robust unsupervised learning approach is proposed in the current study. Robust growing neural gas (RGNG) algorithm was fed into fMRI data and compared with growing neural gas (GNG) algorithm, which has not been used for this purpose or any other medical application.•Learn...