c9d1557a315998f582af07dbac731b3442f6b09a,examples/03_connectivity/plot_rest_clustering.py,,,#,32
Before Change
mean_func_img = mean_img(dataset.func[0])
first_plot = plotting.plot_roi(kmeans_labels_img, mean_func_img,
title="KMeans parcellation",
display_mode="xz")
second_plot = plotting.plot_roi(ward_labels_img, mean_func_img,
title="Ward parcellation",
display_mode="xz")
After Change
// visualization.
kmeans_labels_img = kmeans.masker_.inverse_transform(kmeans.labels_)
plotting.plot_roi(kmeans_labels_img, mean_func_img,
title="KMeans parcellation",
display_mode="xz")
// kmeans_labels_img is a Nifti1Image object, it can be saved to file with
// the following code:
kmeans_labels_img.to_filename("kmeans_parcellation.nii")
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: nilearn/nilearn
Commit Name: c9d1557a315998f582af07dbac731b3442f6b09a
Time: 2018-03-08
Author: dkamalakarreddy@gmail.com
File Name: examples/03_connectivity/plot_rest_clustering.py
Class Name:
Method Name:
Project Name: nilearn/nilearn
Commit Name: b4b7dede2af7bff8cdc6bf18760ea8283eb7281b
Time: 2015-07-21
Author: abraham.alexandre@gmail.com
File Name: examples/manipulating_visualizing/plot_mask_computation.py
Class Name:
Method Name:
Project Name: nilearn/nilearn
Commit Name: b4b7dede2af7bff8cdc6bf18760ea8283eb7281b
Time: 2015-07-21
Author: abraham.alexandre@gmail.com
File Name: examples/manipulating_visualizing/plot_atlas.py
Class Name:
Method Name: