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</html><description>Description: K-means++ is an improved version of the K-means clustering algorithm that is used to more efficiently select the initial cluster centers. This method aims to optimize the clustering process by reducing the likelihood that the initial centers are chosen randomly, which can often lead to suboptimal results. K-means++ introduces a smarter approach to selecting [&hellip;]</description></oembed>
