Dynamic Parcel Aggregation with Clustering
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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Release files for dypac 0.5
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Source distribution (sdist)
| File | Size | Uploaded | |
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| dypac-0.5.tar.gz | 11.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dypac-0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.3 kB
Release files / dypac-0.5.tar.gz
| Download URL | dypac-0.5.tar.gz |
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| Size | 11.5 kB |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5rc1
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Release files / dypac-0.5-py3-none-any.whl
| Download URL | dypac-0.5-py3-none-any.whl |
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| Size | 12.8 kB |
| Tags | Python 3 |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.5rc1
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