Cluster Centroid

In data science, cluster centroid refers to the center point of a cluster. It is calculated as the mean of all the data points in the cluster. The centroid is a representative point of the cluster and is used to characterize the cluster. It is often used in clustering algorithms such as K-means, where the goal is to group similar data points together into clusters. The centroid is used to determine the distance between data points and the cluster, and to assign data points to the nearest cluster. The centroid can also be used to visualize the cluster, as it provides a single point that summarizes the characteristics of the cluster.
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