Clustering of fMRI data: the elusive optimal number of clusters

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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Bibliographic Details
Main Author: Mohamed L. Seghier
Format: Article
Language:English
Published: PeerJ Inc. 2018-10-01
Series:PeerJ
Subjects:
Functional MRI
Data-driven analysis
Unsupervised fuzzy clustering
Brain networks
Cluster validity
Fuzzy compactness and separation
Online Access:https://peerj.com/articles/5416.pdf

Internet

https://peerj.com/articles/5416.pdf

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