sort orientations into clusters
Syntax
[c,center] = calcCluster(ori,'halfwidth',2.5*degree)
[c,center] = calcCluster(ori,'numCluster',n,'method','hierarchical')
[c,center] = calcCluster(ori,'maxAngle',omega,'method','hierarchical')Input
| ori | orientation |
| n | number of clusters |
| omega | maximum angle |
Output
| c | list of clusters |
| center | center of the clusters |
Example
% generate orientation clustered around 5 centers
cs = crystalSymmetry('432');
center = orientation.rand(5,cs);
odf = unimodalODF(center,'halfwidth',5*degree)
ori = odf.calcOrientations(1500);odf = ODF (432 → xyz)
Radially symmetric portion:
kernel: de la Vallee Poussin, halfwidth 5°
center: Rotations: 5 x 1
weight: 1% find the clusters and its centers
[cId,centerRec] = calcCluster(ori);...........................................% visualize result
for i = 1:length(centerRec)
plot(ori(cId==i),'axisAngle')
hold on
plot(centerRec(i),'MarkerFaceColor','k','MarkerSize',15)
end
hold off