Metadata-Version: 2.1
Name: dypac
Version: 0.5.2
Summary: Dynamic parcel aggregation with clustering
Home-page: UNKNOWN
Maintainer: Pierre Bellec
Maintainer-email: pierre.bellec@gmail.com
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/courtois-neuromod/dypac/issues
Project-URL: Funding, https://cneuromod.ca
Project-URL: Source, https://github.com/courtois-neuromod/dypac
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: sklearn
Requires-Dist: nilearn
Requires-Dist: tqdm

# 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.


