calcCluster

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  
  crystal symmetry : 432
  specimen symmetry: 1
 
  Radially symmetric portion:
    kernel: de la Vallee Poussin, halfwidth 5°
    center: Rotations: 5x1
    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