You can run GBNOD.py:
if __name__ == '__main__':
data = pd.read_csv("./Example.csv").values
sigma = 0.6
n, m = data.shape
OS = GBNOD(data, sigma)
print(OS)
You can get outputs as follows:
OS = [0.36248495 0.38842417 0.33514463 0.38842417 0.38842417 0.34719267
0.34719267 0.37670487 0.36568583 0.36248495 0.36248495 0.33514463
0.36558735 0.33877366 0.37670487 0.40813498 0.36568583 0.33877366
0.36568583 0.33877366]
If you have any questions, please contact [email protected].