Figure 10
The K-means cluster-counting algorithm evaluates the partition of N observations (voxelized ionization clusters in our case) in n clusters, so as to minimize the inertia I, defined as the sum of the squared distances of the observations to their closest cluster centre. In the plot: convergence of K-means for a beam rate of 1011 photons s−1. A Savitzky–Golay filter is applied for the purpose of smoothing the variation of the inertia δI. |