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Studying Sub-Dendrograms of Resting-State Functional Networks with Voxel-Wise Hierarchical Clustering
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 as the entire visual or sensory-motor cortex. In...
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| Izdano u: | Front Hum Neurosci |
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| Glavni autori: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Frontiers Media S.A.
2016
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4781834/ https://ncbi.nlm.nih.gov/pubmed/27014015 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2016.00075 |
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