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infinite-Joy/pca7.py

Created August 5, 2017 06:01
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pca7.py
mean_vec = np.mean(X_std, axis=0)
cov_mat = (X_std - mean_vec).T.dot((X_std - mean_vec)) / (X_std.shape[0]-1)
print('Covariance matrix \n{}'.format(cov_mat))
print('Covariance matrix shape is: {}'.format(cov_mat.shape))
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