A centroid is the representative center of a cluster in algorithms such as k-means or k-medians. It summarizes the position of grouped data points and is used to assign new or existing points to the nearest cluster.
The center of a cluster as determined by a k-means or
k-medianalgorithm. For example, if k is 3,
then the k-means or k-median algorithm finds 3 centroids.
See Clustering algorithms
in the Clustering course for more information.