Recursive nearest agglomeration (ReNA)

Nilearn contains the latest version of ReNA:

https://nilearn.github.io/modules/generated/nilearn.regions.Parcellations.html#nilearn.regions.Parcellations

XXX: This example is not currently working, please use the Nilearn implementation

ReNA is a fast clustering algorithm, mainly usef for the approximation of structured signals.

Dependencies

• Python >= 2.6
• scikit-learn >=0.15
• nilearn >= 0.2.4
• nibabel >= 1.1.0
• numpy >= 1.7.1
• scipy >= 0.15
• matplotlib (examples)

Running the examples

Clustering images of faces

Compression of face images from the Olivetti Faces Dataset using 250 clusters.

python example_faces.py

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Clustering brain images

Compression of a brain image (MRI) from the Haxby2001 dataset using 2000 clusters.

python examples_neuroimaging.py