kmeans聚类算法random_state

kmeans聚类算法中的random_state是一个用于控制随机性的参数。在KMeans算法中，质心的初始位置是随机选择的。通过设置random_state参数，可以确保每次运行算法时得到相同的结果。这在需要重现实验结果或进行结果比较时非常有用。例如，在引用中的代码中，random_state=0是用于随机初始化质心的种子值。通过保持random_state的值不变，可以确保每次运行代码时得到相同的聚类结果。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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