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Publikováno v:
Frontiers in Human Neuroscience, Vol 10 (2016)
Hierarchical clustering is a useful data-driven approach to classify complex data and has been used to analyze resting-state functional magnetic resonance imaging (fMRI) data and derive functional networks of the human brain at very large scale, such
Externí odkaz:
https://doaj.org/article/2d52424b12694594acf69e103c290c86
