Python:获取K Means中心点最近的样本
import numpy as np import pandas as pd from sklearn import datasets as DS import matplotlib.pyplot as plt def euclideanDist(A, B): return np.sqrt(sum((A - B) ** 2)) def RandomCenters(dataSet, k): n = dataSet.shape[0] centerIndex = np.random.choice(range(n), size=k, replace=False) cen
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