of America, 17, 684-688.
print(__doc__)
import numpy as np
import matplotlib.pyplot as plt
After Change
// boxplots. The distribution of outlier samples is more separated from the
// distribution of inlier samples for robust MCD based Mahalanobis distances.
fig, (ax1, ax2) = plt.subplots(1, 2)
plt.subplots_adjust(wspace=.6)
// Calculate cubic root of MLE Mahalanobis distances for samples
emp_mahal = emp_cov.mahalanobis(X - np.mean(X, 0)) ** (0.33)