seperate directions into clusters
[cId,center] = calcCluster(vec,'halfwidth',2.5*degree) [cId,center] = calcCluster(vec,'numCluster',n,'method','hierarchical') [cId,center] = calcCluster(vec,'maxAngle',omega,'method','hierarchical')
%generate vector data of up to 5 clusters vin = vector3d.rand(5); sF2 = calcDensity(vin,'halfwidth',10*degree); v = sF2.discreteSample(800);
% find clusters and their centers [cId,center] = calcCluster(v,'numCluster',5,'method','hierarchical');
% visualize the result plot(v,cId) hold on plot(center,'add2all','MarkerSize',10,'MarkerFaceColor','k') hold off