Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining
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 …
research use brain activity to divide the brain into various parcels with some degree of …
Clustering of fMRI data: the elusive optimal number of clusters
ML Seghier - PeerJ, 2018 - peerj.com
Model-free methods are widely used for the processing of brain fMRI data collected under
natural stimulations, sleep, or rest. Among them is the popular fuzzy c-mean algorithm …
natural stimulations, sleep, or rest. Among them is the popular fuzzy c-mean algorithm …
[PDF][PDF] Learning Multimodal Structures in Computer Vision
A Taalimi - 2017 - researchgate.net
In this chapter, we briefly cover sparse representation classification for single modality and
its extension for multimodal data. Understanding SRC is vital for the discussions in Chapters …
its extension for multimodal data. Understanding SRC is vital for the discussions in Chapters …
[CITAZIONE][C] Extracting Activated Regions of Brain with FMRI Data Using a Robust Unsupervised Learning Approach
HAJ ALZIARJAWEY - 2020 - Ankara Yıldırım Beyazıt Üniversitesi …
[CITAZIONE][C] Clustering functional mri data using a robust unsupervised learning algorithm
HKW Al-Jobouri - 2017 - Ankara Yıldırım Beyazıt Üniversitesi …