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RegionData

Namespace: MNELIB  ·  Library: MNE Library

#include <mne/mne_forward_solution.h>

struct MNELIB::RegionData

Gain matrix input data for one region, used for clustering.

Input parameters for cluster-based forward solution computation on a single cortical region

Public Methods​

cluster()​

Example​

No example of its own: Per-region work item of the parallel clustering in MNEForwardSolution::cluster_forward_solution; built and consumed only there.

It is exercised by:

src/examples/ex_inv_api/main.cpp
// Cluster the V1 sources within their aparc regions into groups of about 20 (k-means on the gain columns;
// squared Euclidean distance makes each centroid the mean of its sources)
const FsAnnotationSet aparc(data + "/subjects/sample/label/lh.aparc.annot", data + "/subjects/sample/label/rh.aparc.annot");
MatrixXd clusterMean; // 3 x 70 sources -> 3 x nClusters, averaging per orientation
const MNEForwardSolution clustered = fwd.cluster_forward_solution(aparc, 20, clusterMean, FiffCov(), FiffInfo(), "sqeuclidean");
const MNEClusterInfo& clusters = clustered.src.hemisphereAt(0)->cluster_info;
int assigned = 0;
for (const VectorXi& members : clusters.clusterVertnos) {
    assigned += static_cast<int>(members.size());
}
clusters.write(tmp.filePath("v1-clusters.txt")); // plus centroids_v1-clusters.txt

From ex_inv_api.

Authors of this file​