 This is the main motivation behind the introduction of the "Extended Isolation Forest" (EIF) algorithm by Hariri et al.In order to understand why the original Isolation Forest suffers from that bias, the authors provide a practical example based on a random dataset taken from a 2-D normal distribution with zero mean and covariance given by the identity matrix.An example of such a dataset is shown in Fig.