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並前往https://blog.paperspace.com/speed-up-kmeans-numpy-vectorization-broadcasting-profiling/

Using NumPy to Speed Up K-Means Clustering by 70x

... axis = 0). # Shuffle the data. np.random.shuffle(data). # Set random seed for reproducibility. random.seed(0). # Initialise centroids. centroids = datarandom.sa ...

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