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Dynamic Parcel Aggregation with Clustering

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Detecting stable dynamic parcellation in fMRI data on the full brain.

The algorithm is a simple two level clustering, one on sliding time windows, and one on indicator functions of parcels agreggated over many windows. Optionally the approach can be iterated over several runs.

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