Intro to Programming in R
A centroid is the center point of a cluster in a K-means clustering algorithm, representing the average position of all the points within that cluster. It plays a critical role in determining the formation and organization of clusters, as it is used to minimize the distance between itself and the data points assigned to it. The centroid is recalculated with each iteration of the algorithm to ensure that clusters are optimized and accurately reflect the underlying structure of the data.
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