kmeans聚类算法python

K-Means聚类算法是一种常用的无监督学习算法，它的基本思想是将相似的数据点分组到一起，使得同一组内的数据点相似度高，不同组内的数据点相似度低。在Python中，可以使用NumPy和SciPy库来实现K-Means聚类算法。例如，可以使用sklearn.cluster模块中的KMeans类来实现这个算法。可以通过设置n_clusters参数来指定簇的数量，通过random_state参数来设置随机种子。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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