Created
June 14, 2020 22:01
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cluster 1000 3D points by euclidean distance
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| from scipy.cluster.hierarchy import fclusterdata | |
| import numpy as np | |
| import time | |
| x = np.random.random((1000, 3)) | |
| start_time = time.time() | |
| fclusterdata(x, 0.001, criterion='distance', metric='euclidean', method='complete') | |
| print('elapsed time =', time.time() - start_time) |
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