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.
1 maintainer
Release files for dypac 0.6
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dypac-0.6.tar.gz | 15.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dypac-0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 42.9 kB
Release files / dypac-0.6.tar.gz
| Download URL | dypac-0.6.tar.gz |
|---|---|
| Size | 15.9 kB |
| Tags | Source |
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twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
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Release files / dypac-0.6-py3-none-any.whl
| Download URL | dypac-0.6-py3-none-any.whl |
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| Size | 27.0 kB |
| Tags | Python 3 |
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twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10
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