In order to balance between model over-fitting and under-fitting, Tax and Duin (2001) proposed a method that tries to use artificially generated outliers to optimize the model parameters.
their experiments suggest that the procedure to generate artificial outliers in a hyper-sphere is only feasible for up to 30 dimensions.