/// <summary>
/// Computes the distortion of the cluster, measured
/// as the average distance between the cluster points
/// and its centroid.
/// </summary>
///
/// <param name="data">The input points.</param>
///
/// <returns>The average distance between all points
/// in the cluster and the cluster centroid.</returns>
///
public double Distortion(TData[] data)
{
TData centroid = Mode;
double error = 0.0;
for (int i = 0; i < data.Length; i++)
{
error += owner.Distance(data[i], centroid);
}
return(error / (double)data.Length);
}
/// <summary>
/// Computes the distortion of the cluster, measured
/// as the average distance between the cluster points
/// and its centroid.
/// </summary>
///
/// <param name="points">The input points.</param>
///
/// <returns>The average distance between all points
/// in the cluster and the cluster centroid.</returns>
///
public double Distortion(T[][] points)
{
T[] centroid = Mode;
double error = 0.0;
for (int i = 0; i < points.Length; i++)
{
error += owner.Distance(points[i], centroid);
}
return(error / (double)points.Length);
}