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Clustering of fMRI data: the elusive optimal number of clusters
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, commonly combined with cluster validity (CV) indices to identify the ‘true’ number of clusters (components), in an unsuperv...
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| 出版年: | PeerJ |
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| 第一著者: | |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
PeerJ Inc.
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6173948/ https://ncbi.nlm.nih.gov/pubmed/30310731 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.5416 |
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